Triple

T6492773
Position Surface form Disambiguated ID Type / Status
Subject Tom Noonan E148080 entity
Predicate starredIn P1668 FINISHED
Object The Monster Squad E533013 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: The Monster Squad | Statement: [Tom Noonan, starredIn, The Monster Squad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Monster Squad
Context triple: [Tom Noonan, starredIn, The Monster Squad]
  • A. The Monster Squad chosen
    The Monster Squad is a 1987 cult classic horror-comedy film about a group of kids who band together to stop iconic Universal-style monsters from taking over their town.
  • B. Tar Monster
    The Tar Monster is a gooey, black, sludge-like creature from the Scooby-Doo franchise known for trapping victims in sticky tar and appearing as one of the villains in Scooby-Doo 2: Monsters Unleashed.
  • C. Monsters!
    Monsters! is a museum exhibition exploring the cultural, historical, and psychological meanings behind mythical creatures and monstrous beings.
  • D. Monsters
    Monsters is a professional ice hockey team based in Cleveland, Ohio, competing in the American Hockey League as the affiliate of the NHL’s Columbus Blue Jackets.
  • E. Monsters
    "Monsters" is an emotional ballad by James Blunt, written as a farewell to his ailing father and noted for its poignant lyrics and stripped-back performance.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab6abbc8190a4971ad5a654b0cd completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653bf5c30819083e4e5484b2bd8cc completed March 27, 2026, 9:54 a.m.
Created at: March 22, 2026, 4:53 p.m.