Triple

T13145802
Position Surface form Disambiguated ID Type / Status
Subject Jon Kilik E312330 entity
Predicate notableWork P4 FINISHED
Object The Burning Plain E907828 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: The Burning Plain | Statement: [Jon Kilik, notableWork, The Burning Plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Burning Plain
Context triple: [Jon Kilik, notableWork, The Burning Plain]
  • A. The Burning Plain chosen
    The Burning Plain is a 2008 drama film directed by Guillermo Arriaga, known for its interwoven narrative structure and ensemble cast led by Charlize Theron and Kim Basinger.
  • B. The Burning Hills
    The Burning Hills is a 1956 Western film starring Tab Hunter and Natalie Wood, adapted from a novel by Louis L’Amour.
  • C. Land of Fire
    Land of Fire is the English name for Tierra del Fuego, a remote archipelago at South America's southern tip known for its harsh climate, dramatic landscapes, and historic role in exploration.
  • D. Land of Fire
    Land of Fire is a popular epithet for Azerbaijan, reflecting its historic association with natural gas flames and ancient fire-worship.
  • E. The Burning
    The Burning is a 1981 American slasher film, notable for its summer-camp setting and early special effects work by makeup artist Tom Savini.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bcf6d0c819081d078f33e4bdedc completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae675508190991ce5902768c45a completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:10 p.m.