Triple

T17300852
Position Surface form Disambiguated ID Type / Status
Subject KBR E420034 entity
Predicate foundedBy P104 FINISHED
Object Halliburton 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: Halliburton | Statement: [KBR, foundedBy, Halliburton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halliburton
Context triple: [KBR, foundedBy, Halliburton]
  • A. Halliburton chosen
    Halliburton is a major American multinational corporation that provides products and services to the oil and gas industry worldwide.
  • B. Baker Hughes
    Baker Hughes is a major American energy technology and oilfield services company that provides products and services for oil and gas exploration, drilling, and production worldwide.
  • C. Schlumberger
    Schlumberger is a leading global oilfield services company that provides technology, project management, and information solutions to the oil and gas industry.
  • D. Anadarko Petroleum
    Anadarko Petroleum was a major American oil and gas exploration and production company known for its global operations and significant role in the energy industry.
  • E. Chevron Corporation
    Chevron Corporation is one of the world’s largest integrated oil and gas companies, involved in exploration, production, refining, and marketing of petroleum and related energy products globally.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438fae8848190a06c5866e606baac completed April 19, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:41 a.m.