Triple
T20620206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All the Bright Places |
E506679
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object |
Jennifer Niven
Jennifer Niven is an American author best known for her young adult novel "All the Bright Places," which explores themes of mental health, love, and loss.
|
E1441557
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jennifer Niven | Statement: [All the Bright Places, author, Jennifer Niven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Niven Context triple: [All the Bright Places, author, Jennifer Niven]
-
A.
Nina LaCour
Nina LaCour is an award-winning American author best known for her emotionally resonant young adult and queer contemporary novels.
-
B.
Jenny Downham
Jenny Downham is a British author best known for her young adult novel "Before I Die," which was adapted into the film "Now Is Good."
-
C.
Christina Rosendahl
Christina Rosendahl is an actress known for her role in the 1989 horror film adaptation of Edgar Allan Poe's "The Masque of the Red Death."
-
D.
Audrey Maas
Audrey Maas is a film producer known for her work on the acclaimed 1974 drama "Alice Doesn't Live Here Anymore."
-
E.
Tanzie Marchetta
Tanzie Marchetta is the fashion-obsessed teenage protagonist of the chick-lit novel "Material Girls," navigating high school, friendship, and personal identity amid a glamorous, consumer-driven world.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jennifer Niven Triple: [All the Bright Places, author, Jennifer Niven]
Generated description
Jennifer Niven is an American author best known for her young adult novel "All the Bright Places," which explores themes of mental health, love, and loss.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennifer Niven Target entity description: Jennifer Niven is an American author best known for her young adult novel "All the Bright Places," which explores themes of mental health, love, and loss.
-
A.
Nina LaCour
Nina LaCour is an award-winning American author best known for her emotionally resonant young adult and queer contemporary novels.
-
B.
Jenny Downham
Jenny Downham is a British author best known for her young adult novel "Before I Die," which was adapted into the film "Now Is Good."
-
C.
Christina Rosendahl
Christina Rosendahl is an actress known for her role in the 1989 horror film adaptation of Edgar Allan Poe's "The Masque of the Red Death."
-
D.
Audrey Maas
Audrey Maas is a film producer known for her work on the acclaimed 1974 drama "Alice Doesn't Live Here Anymore."
-
E.
Tanzie Marchetta
Tanzie Marchetta is the fashion-obsessed teenage protagonist of the chick-lit novel "Material Girls," navigating high school, friendship, and personal identity amid a glamorous, consumer-driven world.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe0e22c81909f6efe21518e33f0 |
completed | April 20, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bb1776588190923236057cfd1b8f |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bdd076f08190a6663d891d503a29 |
completed | May 16, 2026, 6:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08be4eddbc8190b02a5b8b96ee6a29 |
completed | May 16, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:42 a.m.