Triple
T10189190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Is Our Youth |
E237987
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Jessica Goldman |
E846751
|
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: Jessica Goldman | Statement: [This Is Our Youth, hasCharacter, Jessica Goldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica Goldman Context triple: [This Is Our Youth, hasCharacter, Jessica Goldman]
-
A.
Jessica Goldman
chosen
Jessica Goldman is a central character in Kenneth Lonergan's play "This Is Our Youth," portrayed as an intelligent, self-conscious young woman navigating relationships and identity in 1980s Manhattan.
-
B.
Lisa Weinstein
Lisa Weinstein is a film producer best known for her work on the acclaimed 1990 romantic fantasy drama "Ghost."
-
C.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
D.
Emma Weinstein
Emma Weinstein is one of the daughters of disgraced Hollywood film producer Harvey Weinstein.
-
E.
Tina Goldstein
Tina Goldstein is a determined American Auror in the Wizarding World franchise, prominently featured as a key ally of Newt Scamander in the Fantastic Beasts film series.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7c3278819093312665b54d888c |
completed | April 2, 2026, 4:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32ae3fe40819093080f9bf15a9608 |
completed | April 6, 2026, 3:39 a.m. |
Created at: March 30, 2026, 9:12 p.m.