Triple

T23340431
Position Surface form Disambiguated ID Type / Status
Subject Tormented E591719 entity
Predicate hasCastMember P2308 FINISHED
Object Susan Gordon 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: Susan Gordon | Statement: [Tormented, hasCastMember, Susan Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Gordon
Context triple: [Tormented, hasCastMember, Susan Gordon]
  • A. Susan Gordon chosen
    Susan Gordon was an American child actress known for her roles in 1950s and 1960s film and television, often appearing in science fiction and fantasy works.
  • B. Diana Gordon
    Diana Gordon is an American singer-songwriter and producer known for her work across R&B and pop, including co-writing major hits for artists like Beyoncé.
  • C. Marianne Gordon
    Marianne Gordon is an American actress best known for her film and television work in the 1960s–1980s and for her former marriage to country music star Kenny Rogers.
  • D. Mary Gordon
    Mary Gordon was a Scottish-born character actress best known for her numerous maternal and housekeeper roles in Hollywood films of the 1930s and 1940s, including as Mrs. Hudson in the Sherlock Holmes series.
  • E. Sybil Gordon
    Sybil Gordon is a character in the film "Chariots of Fire," portrayed as the love interest of runner Harold Abrahams.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198329d9c8190992627afa9b54bed completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:18 p.m.