Triple

T5742973
Position Surface form Disambiguated ID Type / Status
Subject Aguirre E126658 entity
Predicate enemyOf P437 FINISHED
Object Dr. Lily Houghton E138308 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: Dr. Lily Houghton | Statement: [Aguirre, enemyOf, Dr. Lily Houghton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. Lily Houghton
Context triple: [Aguirre, enemyOf, Dr. Lily Houghton]
  • A. Dr. Lily Houghton chosen
    Dr. Lily Houghton is a daring and resourceful British scientist and adventurer who embarks on a perilous Amazon expedition in Disney’s fantasy adventure film "Jungle Cruise."
  • B. Dr. Helena Russell
    Dr. Helena Russell is the chief medical officer and a central character on the 1970s science fiction television series "Space: 1999."
  • C. Dr. Zoe Hart
    Dr. Zoe Hart is the ambitious New York doctor who becomes the central protagonist of the small-town romantic dramedy series "Hart of Dixie."
  • D. Dr. Claire Finn
    Dr. Claire Finn is a skilled physician and senior medical officer aboard the exploratory spaceship USS Orville in the science-fiction comedy-drama series "The Orville."
  • E. Dr. Eleanor O’Hara
    Dr. Eleanor O’Hara is a fictional, sharp-witted British emergency room physician on the TV series "Nurse Jackie."
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025852a2c819080521e5b98c00bdc completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e2196e08190a38e1c6871e71acd completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.