Triple

T20121547
Position Surface form Disambiguated ID Type / Status
Subject Martin Campbell E490619 entity
Predicate directed P7373 FINISHED
Object Defenseless 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: Defenseless | Statement: [Martin Campbell, directed, Defenseless]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Defenseless
Context triple: [Martin Campbell, directed, Defenseless]
  • A. Defenseless chosen
    Defenseless is a 1991 American thriller film starring Barbara Hershey as a lawyer entangled in a dangerous murder investigation.
  • B. Helpless
    "Helpless" is a romantic R&B-influenced song from the musical *Hamilton*, sung primarily by Eliza Schuyler as she falls in love with Alexander Hamilton.
  • C. Helpless
    "Helpless" is a soulful Motown song by the Four Tops, showcasing their emotive vocals and classic 1960s R&B sound.
  • D. Helpless
    "Helpless" is a song featured on Emmylou Harris's 1971 country-folk album "She Used to Wanna Be a Ballerina."
  • E. Helpless
    Helpless is a 2012 South Korean mystery-thriller film, based on a Japanese novel, in which Lee Sun-kyun plays a man desperately searching for his fiancée after her sudden disappearance.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673e79dc81908fbd387c067fce79 completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:30 p.m.