Triple

T4688001
Position Surface form Disambiguated ID Type / Status
Subject The Dropout E103966 entity
Predicate executiveProducer P7225 FINISHED
Object Liz Hannah E273182 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: Liz Hannah | Statement: [The Dropout, executiveProducer, Liz Hannah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liz Hannah
Context triple: [The Dropout, executiveProducer, Liz Hannah]
  • A. Liz Hannah chosen
    Liz Hannah is an American screenwriter and producer best known for co-writing the acclaimed historical drama film "The Post."
  • B. Lisa Hallett
    Lisa Hallett is a character in the British science fiction series "Torchwood," known for her tragic storyline involving cybernetic conversion and her relationship with Ianto Jones.
  • C. Alice Hanthorn
    Alice Hanthorn was the wife of American businessman and government official Lewis L. Strauss, associated with his early life and career before his prominence in nuclear policy.
  • D. Liz Watts
    Liz Watts is an Australian film and television producer known for her work on acclaimed projects such as the crime drama film "Animal Kingdom."
  • E. Ann Hearn
    Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6397f6888190a9024a51d4d34f2b completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c80125c8190b0ac3f759cce1c32 completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:16 p.m.