Triple

T20743931
Position Surface form Disambiguated ID Type / Status
Subject Bill Paterson E510515 entity
Predicate notableWork P4 FINISHED
Object The Killing Fields 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: The Killing Fields | Statement: [Bill Paterson, notableWork, The Killing Fields]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Killing Fields
Context triple: [Bill Paterson, notableWork, The Killing Fields]
  • A. The Killing Fields chosen
    The Killing Fields is a 1984 historical drama film about the Cambodian genocide under the Khmer Rouge, focusing on the harrowing experiences of a journalist and his interpreter.
  • B. My Lai village
    My Lai village is a settlement in central Vietnam infamous as the site of the 1968 My Lai Massacre during the Vietnam War.
  • C. Year Zero: The Silent Death of Cambodia
    Year Zero: The Silent Death of Cambodia is a 1979 documentary film that exposes the devastation and human suffering in Cambodia under the Khmer Rouge regime and the impact of Western policies on the country.
  • D. Dith Pran
    Dith Pran was a Cambodian photojournalist and survivor of the Khmer Rouge regime whose harrowing experiences inspired the film "The Killing Fields."
  • E. Zindan Gate
    Zindan Gate is a historic fortified entrance of the Belgrade Fortress, notable for its medieval towers and role in the city's defensive complex.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c21197088190951a4c4a7e765891 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.