Triple
T3342042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ally McBeal |
E70280
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lucy Liu |
E259920
|
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 Liu | Statement: [Ally McBeal, starring, Lucy Liu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucy Liu Context triple: [Ally McBeal, starring, Lucy Liu]
-
A.
Lucy Liu
chosen
Lucy Liu is an American actress and producer known for her versatile roles in film and television, including standout performances in projects like "Ally McBeal," "Kill Bill," and "Elementary."
-
B.
Zoë Chao
Zoë Chao is an American actress and writer known for her work in film and television, including prominent roles in indie comedies and streaming series.
-
C.
Ming-Na Wen
Ming-Na Wen is a Chinese-American actress best known for her roles in projects like ER, Agents of S.H.I.E.L.D., and various Disney productions.
-
D.
Michelle Yeoh
Michelle Yeoh is an acclaimed Malaysian actress and former martial artist best known for her roles in films such as Crouching Tiger, Hidden Dragon, Tomorrow Never Dies, and the Oscar-winning Everything Everywhere All at Once.
-
E.
Lisa Ling
Lisa Ling is an American journalist, television presenter, and author known for her in-depth reporting and documentary work on social, cultural, and global issues.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1ee711481909c0d921f1b5b8562 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a946ba88190bd40ba7481baf28d |
completed | March 12, 2026, 7:57 p.m. |
Created at: March 8, 2026, 3:12 p.m.