Triple

T12090163
Position Surface form Disambiguated ID Type / Status
Subject The Long Firm E287920 entity
Predicate executiveProducer P7225 FINISHED
Object Liza Marshall E322513 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: Liza Marshall | Statement: [The Long Firm, executiveProducer, Liza Marshall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liza Marshall
Context triple: [The Long Firm, executiveProducer, Liza Marshall]
  • A. Liza Marshall chosen
    Liza Marshall is a British film and television producer known for her work on projects such as "Before I Go to Sleep" and "Temple."
  • B. Liza Elliott
    Liza Elliott is the conflicted, high-powered fashion magazine editor whose psychoanalytic journey drives the plot of the musical "Lady in the Dark."
  • C. Liza Todd
    Liza Todd is an American sculptor and the daughter of actress Elizabeth Taylor and producer Mike Todd.
  • D. Liza Miller
    Liza Miller is the 40-year-old divorced mother who pretends to be in her twenties to restart her publishing career in the TV series "Younger."
  • E. Liza Owen
    Liza Owen is a British-Cambodian singer-songwriter known for her pop and R&B-influenced writing and collaborations with major contemporary artists.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915161f848190a6355c1e372eadaa completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65e9693188190b22702216ca273e2 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:48 p.m.