Triple

T23304327
Position Surface form Disambiguated ID Type / Status
Subject Chet Haze E590391 entity
Predicate sibling P363 FINISHED
Object Elizabeth Hanks 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: Elizabeth Hanks | Statement: [Chet Haze, sibling, Elizabeth Hanks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Hanks
Context triple: [Chet Haze, sibling, Elizabeth Hanks]
  • A. Elizabeth Hanks chosen
    Elizabeth Hanks is an American actress and writer, known for her supporting roles in films like "Forrest Gump" and for being the daughter of actor Tom Hanks.
  • B. Marguerite Hensley
    Marguerite Hensley is best known as the mother of Cindy McCain, the American businesswoman and philanthropist who was married to U.S. Senator John McCain.
  • C. Mary Harkness
    Mary Harkness was the first wife of American industrialist and railroad magnate Henry Flagler, with whom she shared the early years of his rise in the oil and transportation industries.
  • D. Mary Haines
    Mary Haines is the gracious, upper-class New York wife and mother whose marital troubles and friendships drive the plot of the 1939 film "The Women."
  • E. Sarah Haskins
    Sarah Haskins is an American comedian and writer known for her sharp feminist satire and work on projects like the film "Trophy Wife."
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19725b248819089e61efb82e3440f completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.