Triple
T10846575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aubergine |
E256023
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Julia Cho |
E256023
|
NE FINISHED |
How this triple was built (2 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: Julia Cho | Statement: [Aubergine, author, Julia Cho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Cho Context triple: [Aubergine, author, Julia Cho]
-
A.
Julia Cho
chosen
Julia Cho is an American playwright and screenwriter known for her work on stage and in film, including co-writing Pixar’s animated feature "Turning Red."
-
B.
Mia Yoo
Mia Yoo is a theatre director and arts leader best known for heading New York’s influential La MaMa Experimental Theatre Club, where she champions innovative and international performance.
-
C.
Julie Oh
Julie Oh is a film producer known for her work on projects such as the musical drama "Tick, Tick... Boom!" (2021).
-
D.
Cheryl Song
Cheryl Song is an American dancer and actress best known as a featured Soul Train dancer who also appeared in the 1988 action film "Action Jackson."
-
E.
Christina Chang
Christina Chang is a Taiwanese-American actress best known for her role as Dr. Audrey Lim on the medical drama series "The Good Doctor."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750d132e081909c977b3dc4110ca4 |
completed | April 9, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d6c077608190822d66b23866f5eb |
completed | April 18, 2026, 12:56 a.m. |
Created at: April 8, 2026, 9:20 p.m.