Triple
T4440907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commando |
E95767
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Rae Dawn Chong |
E302601
|
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: Rae Dawn Chong | Statement: [Commando, starring, Rae Dawn Chong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rae Dawn Chong Context triple: [Commando, starring, Rae Dawn Chong]
-
A.
Rae Dawn Chong
chosen
Rae Dawn Chong is a Canadian-American actress known for her roles in films such as "Quest for Fire," "Commando," and "The Color Purple."
-
B.
Nancy Kwan
Nancy Kwan is a pioneering Hong Kong–born actress who became an international star in the 1960s and a trailblazer for Asian representation in Hollywood and global cinema.
-
C.
Rita Hsiao
Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
-
D.
Vicky Chun
Vicky Chun is a collegiate sports administrator best known for serving as the director of athletics at Yale University.
-
E.
Wilma Pang
Wilma Pang is a San Francisco community activist and perennial local political candidate known for her involvement in city elections and advocacy on neighborhood 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ac05e081908411089c05fc36bd |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61380fca08190bf036a7d82cee0e7 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:32 p.m.