Triple

T2221139
Position Surface form Disambiguated ID Type / Status
Subject Rex Tillerson E48142 entity
Predicate employer P7 FINISHED
Object ExxonMobil E231050 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: ExxonMobil | Statement: [Rex Tillerson, employer, ExxonMobil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ExxonMobil
Context triple: [Rex Tillerson, employer, ExxonMobil]
  • A. Exxon chosen
    Exxon is a major American multinational oil and gas corporation known for its global energy production, refining, and petrochemical operations.
  • B. 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.
  • C. ConocoPhillips
    ConocoPhillips is a major American multinational energy corporation primarily engaged in the exploration, production, transportation, and marketing of crude oil, natural gas, and related products worldwide.
  • D. Royal Dutch Shell
    Royal Dutch Shell is a major British-Dutch multinational oil and gas company and one of the largest energy corporations in the world.
  • E. Sinopec
    Sinopec is one of China’s largest state-owned oil and petrochemical companies, engaged in exploration, refining, and marketing of petroleum and chemical products worldwide.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0156c8c819083e3e3b6ede1e951 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae655df21c8190aa9624f15955c565 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:47 p.m.