Triple

T15329932
Position Surface form Disambiguated ID Type / Status
Subject Boss E366505 entity
Predicate hasCharacter P2308 FINISHED
Object Kitty O’Neill E1154014 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: Kitty O’Neill | Statement: [Boss, hasCharacter, Kitty O’Neill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kitty O’Neill
Context triple: [Boss, hasCharacter, Kitty O’Neill]
  • A. Kitty O’Neill chosen
    Kitty O’Neill is a political aide best known for serving as a senior adviser and chief of staff to Republican strategist and lobbyist Tom Kane.
  • B. Kitty McHugh
    Kitty McHugh was an American character actress active in early 20th-century film and theater, known for her supporting roles and as a member of the McHugh acting family.
  • C. Kitty McClure
    Kitty McClure is a person notable enough to be recognized as a significant bearer of the McClure surname.
  • D. Kitty Murray
    Kitty Murray is a central female character in the 1953 3D horror film "The Maze," involved in uncovering the eerie secrets surrounding a Scottish castle and its mysterious lord.
  • E. Kitty DeGree
    Kitty DeGree was a philanthropist and major benefactor whose support for healthcare and education led to a nursing school at the University of Louisiana at Monroe being named in her honor.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff755e0f2c819088293d8a55d7883a completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 3:17 a.m.