Triple

T20388999
Position Surface form Disambiguated ID Type / Status
Subject The Mighty E498034 entity
Predicate screenwriter P2831 FINISHED
Object Charles Leavitt 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: Charles Leavitt | Statement: [The Mighty, screenwriter, Charles Leavitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Leavitt
Context triple: [The Mighty, screenwriter, Charles Leavitt]
  • A. Charles Leavitt chosen
    Charles Leavitt is an American screenwriter best known for writing the screenplay for the film "Blood Diamond."
  • B. Charles Leifer
    Charles Leifer is a software developer best known for creating the Peewee ORM and founding the documentation hosting platform Read the Docs.
  • C. Daniel Lothrop
    Daniel Lothrop was a 19th-century American publisher best known for founding the D. Lothrop Company, which specialized in children's and religious literature.
  • D. Paul Kellerman
    Paul Kellerman is a key antagonist in the television series "Prison Break," a Secret Service agent deeply involved in the conspiracy framing Lincoln Burrows.
  • E. Charles Hinshaw
    Charles Hinshaw is a writer best known for his work on the film "Needed Me."
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790d9e5881908bde7da9e5e541a0 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.