Triple

T1191685
Position Surface form Disambiguated ID Type / Status
Subject Anne Baxter E25374 entity
Predicate familyName P18 FINISHED
Object Baxter E115891 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: Baxter | Statement: [Anne Baxter, familyName, Baxter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baxter
Context triple: [Anne Baxter, familyName, Baxter]
  • A. Baxter chosen
    Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
  • B. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • C. Otis
    "Otis" is a hip-hop track by Jay-Z and Kanye West featuring a prominent Otis Redding sample, known for its celebratory tone and showcase of their lyrical chemistry.
  • D. Otis
    Otis is a small rural town in western Massachusetts known for its forests, lakes, and outdoor recreation.
  • E. Behring
    Behring is a German surname most notably associated with Emil Adolf von Behring, the pioneering physiologist and first Nobel laureate in Physiology or Medicine for his work on serum therapy.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd74e2c08190b4a48425f94addaa completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac764ea588819082f7d5d0e44e1211 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:45 p.m.