Triple
T17069870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulan (2020 film) |
E414187
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Lauren Hynek
Lauren Hynek is a screenwriter best known for co-writing Disney’s live-action adaptation of Mulan (2020).
|
E1357658
|
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: Lauren Hynek | Statement: [Mulan (2020 film), screenwriter, Lauren Hynek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Hynek Context triple: [Mulan (2020 film), screenwriter, Lauren Hynek]
-
A.
Carrie Sciandra
Carrie Sciandra was the wife of notorious Pennsylvania crime boss Russell Bufalino, associated with the American Mafia.
-
B.
Lauren Resnick
Lauren Resnick is an American educational psychologist known for her influential research on learning, cognition, and the design of effective educational practices.
-
C.
Rebecca Heineman
Rebecca Heineman is an American video game programmer and designer recognized as one of the industry’s earliest champions and a co-founder of several influential game companies.
-
D.
Lauren Parkinson
Lauren Parkinson is an American actress best known for her role in the fantasy action film "Avengers Grimm."
-
E.
Lauren Dunn
Lauren Dunn is a music video director known for her creative visual work on contemporary artists’ projects.
- 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: Lauren Hynek Triple: [Mulan (2020 film), screenwriter, Lauren Hynek]
Generated description
Lauren Hynek is a screenwriter best known for co-writing Disney’s live-action adaptation of Mulan (2020).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Hynek Target entity description: Lauren Hynek is a screenwriter best known for co-writing Disney’s live-action adaptation of Mulan (2020).
-
A.
Carrie Sciandra
Carrie Sciandra was the wife of notorious Pennsylvania crime boss Russell Bufalino, associated with the American Mafia.
-
B.
Lauren Resnick
Lauren Resnick is an American educational psychologist known for her influential research on learning, cognition, and the design of effective educational practices.
-
C.
Rebecca Heineman
Rebecca Heineman is an American video game programmer and designer recognized as one of the industry’s earliest champions and a co-founder of several influential game companies.
-
D.
Lauren Parkinson
Lauren Parkinson is an American actress best known for her role in the fantasy action film "Avengers Grimm."
-
E.
Lauren Dunn
Lauren Dunn is a music video director known for her creative visual work on contemporary artists’ projects.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbfb1f08190807301ff6e573cf5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05dd78297481909812d1e38d946a87 |
completed | May 14, 2026, 2:34 p.m. |
| NEDg | Description generation | batch_6a05dfcd85b08190b0ec431590396dbb |
completed | May 14, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e09c58308190975c69c86482292a |
completed | May 14, 2026, 2:47 p.m. |
Created at: April 10, 2026, 5:34 a.m.