Triple
T18755288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Killing Fields |
E458632
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Haing S. Ngor |
—
|
NE NERFINISHED |
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: Haing S. Ngor | Statement: [The Killing Fields, castMember, Haing S. Ngor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haing S. Ngor Context triple: [The Killing Fields, castMember, Haing S. Ngor]
-
A.
Haing S. Ngor
chosen
Haing S. Ngor was a Cambodian-American physician-turned-actor and Oscar-winning survivor of the Khmer Rouge best known for his powerful performance in the film "The Killing Fields."
-
B.
Wayne Wang
Wayne Wang is a pioneering Chinese American filmmaker best known for directing influential cross-cultural dramas such as "Chan Is Missing" and "The Joy Luck Club."
-
C.
Hwang Jang-lee
Hwang Jang-lee is a Korean martial artist and actor famed for his villainous kicking roles in classic Hong Kong kung fu films.
-
D.
Tran Anh Hung
Tran Anh Hung is a Vietnamese-French film director acclaimed for his visually poetic, contemplative dramas such as "The Scent of Green Papaya" and "Cyclo."
-
E.
Om Puri
Om Puri was a renowned Indian actor celebrated for his powerful performances in both parallel and mainstream cinema, as well as notable roles in international films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f084208190a4b3563d47154e69 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.