Triple

T11329335
Position Surface form Disambiguated ID Type / Status
Subject Abominable E268300 entity
Predicate voiceCastMember P9616 FINISHED
Object Chloe Bennet E685157 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: Chloe Bennet | Statement: [Abominable, voiceCastMember, Chloe Bennet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chloe Bennet
Context triple: [Abominable, voiceCastMember, Chloe Bennet]
  • A. Chloe Bennet chosen
    Chloe Bennet is an American actress and singer best known for playing Daisy Johnson/Quake in the Marvel television series "Agents of S.H.I.E.L.D."
  • B. Samara Weaving
    Samara Weaving is an Australian actress known for her roles in film and television, particularly in horror-comedy and thriller projects such as "Ready or Not" and "The Babysitter."
  • C. Alexandra Astin
    Alexandra Astin is an American actress and the daughter of actor Sean Astin, known for her small role in "The Lord of the Rings: The Return of the King."
  • D. Anna Torv
    Anna Torv is an Australian actress best known for her lead role as FBI agent Olivia Dunham in the science fiction television series "Fringe."
  • E. Carrie Snodgress
    Carrie Snodgress was an American actress best known for her Oscar-nominated role in "Diary of a Mad Housewife" and her work in film and television during the 1970s and 1980s.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e330008190b75490efde01dc59 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5261770ac8190b8fc7e2099aa8ace completed April 19, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:32 p.m.