Triple
T23425573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Girl historical characters |
E560785
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Nicki Hoffman
Nicki Hoffman is a character from the American Girl historical line, portrayed as a girl navigating life in a specific past era of American history.
|
E1586529
|
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: Nicki Hoffman | Statement: [American Girl historical characters, hasPart, Nicki Hoffman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicki Hoffman Context triple: [American Girl historical characters, hasPart, Nicki Hoffman]
-
A.
Nikki Schieler
Nikki Schieler is an American model and actress best known for her work as a Playboy Playmate and appearances on television.
-
B.
Nikki Hassman
Nikki Hassman is a songwriter best known for co-writing the contemporary Christian song "I'm Alive."
-
C.
Nikki Hahn
Nikki Hahn is an American actress best known for her roles as a child performer in various television series and films.
-
D.
Nikki Weiss
Nikki Weiss is a talent manager and reality television personality best known for appearing on the Showtime series "The Real L Word."
-
E.
Nikki Satosky
Nikki Satosky is a fictional character portrayed by actress Mara Wilson.
- 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: Nicki Hoffman Triple: [American Girl historical characters, hasPart, Nicki Hoffman]
Generated description
Nicki Hoffman is a character from the American Girl historical line, portrayed as a girl navigating life in a specific past era of American history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicki Hoffman Target entity description: Nicki Hoffman is a character from the American Girl historical line, portrayed as a girl navigating life in a specific past era of American history.
-
A.
Nikki Schieler
Nikki Schieler is an American model and actress best known for her work as a Playboy Playmate and appearances on television.
-
B.
Nikki Hassman
Nikki Hassman is a songwriter best known for co-writing the contemporary Christian song "I'm Alive."
-
C.
Nikki Hahn
Nikki Hahn is an American actress best known for her roles as a child performer in various television series and films.
-
D.
Nikki Weiss
Nikki Weiss is a talent manager and reality television personality best known for appearing on the Showtime series "The Real L Word."
-
E.
Nikki Satosky
Nikki Satosky is a fictional character portrayed by actress Mara Wilson.
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54951688190a3c5382971af3e41 |
completed | April 29, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67a5972c8190b8f04785bb1817ec |
completed | May 19, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a0c7216508c81909bd949d50ee2d48b |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76ed37b08190af81b4ae2dc7c028 |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 5:47 p.m.