Triple
T10225463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stealing Beauty |
E243192
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Lucy Harmon |
E243198
|
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: Lucy Harmon | Statement: [Stealing Beauty, mainCharacter, Lucy Harmon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucy Harmon Context triple: [Stealing Beauty, mainCharacter, Lucy Harmon]
-
A.
Lucy Harmon
chosen
Lucy Harmon is the introspective American teenager at the center of Bernardo Bertolucci's 1996 film "Stealing Beauty," portrayed by Liv Tyler in one of her most acclaimed early roles.
-
B.
Lucy Wyman
Lucy Wyman is a key character in the romantic comedy film "13 Going on 30," serving as the adult version of Jenna Rink’s former best friend turned rival in the fashion magazine world.
-
C.
Lucy McCallum
Lucy McCallum is an Australian jurist who serves as the Chief Justice of the Supreme Court of the Australian Capital Territory.
-
D.
Lucy Lamar
Lucy Lamar was the wife of prominent Mississippi politician and U.S. Senator Pat Harrison.
-
E.
Lucy Osburn
Lucy Osburn was a pioneering English nurse and hospital reformer who helped establish modern nursing practices in Australia in the 19th century.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fd5df188190b5ad2e57abeb6b13 |
completed | April 9, 2026, 7:05 a.m. |
Created at: April 6, 2026, 11:17 a.m.