Triple

T13498725
Position Surface form Disambiguated ID Type / Status
Subject Rhonda Fleming E320827 entity
Predicate spouse P13 FINISHED
Object Hall Bartlett E493393 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: Hall Bartlett | Statement: [Rhonda Fleming, spouse, Hall Bartlett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hall Bartlett
Context triple: [Rhonda Fleming, spouse, Hall Bartlett]
  • A. Hall Bartlett chosen
    Hall Bartlett was an American film director, producer, and screenwriter best known for socially conscious dramas such as "Zero Hour!" and "Jonathan Livingston Seagull."
  • B. David Huddleston
    David Huddleston was an American character actor best known for his memorable supporting roles in film and television, including the title role in the cult classic comedy "The Big Lebowski."
  • C. Bob Bartlett
    Bob Bartlett was a prominent Alaskan political leader and advocate for statehood who became one of Alaska’s first U.S. senators.
  • D. Hugh Baird
    Hugh Baird was a Scottish civil engineer best known for his major role in early 19th-century canal design and construction.
  • E. Frank Bryant
    Frank Bryant is a disillusioned, middle-aged university literature professor whose relationship with an eager working-class student drives the central transformation in the play and film "Educating Rita."
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75485af6c8190a43ccab5449f5014 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.