Triple

T22188652
Position Surface form Disambiguated ID Type / Status
Subject Anthills of the Savannah E548359 entity
Predicate mainCharacter P1183 FINISHED
Object Sam 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: Sam | Statement: [Anthills of the Savannah, mainCharacter, Sam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam
Context triple: [Anthills of the Savannah, mainCharacter, Sam]
  • A. Sam chosen
    Sam is a person whose given name is Sam.
  • B. Sam
    Sam is the iconic, burlap-sack-masked embodiment of Halloween who enforces the holiday’s rules in the Trick 'r Treat horror franchise.
  • C. Sam
    Sam is the NATO reporting name for the Mitsubishi A7M Reppū, a late-World War II Japanese carrier-based fighter aircraft developed as the intended successor to the A6M Zero.
  • D. Simon
    Simon is the drag performer alter ego behind Lola in the musical and film "Kinky Boots," revealing the character’s offstage identity and personal life.
  • E. Simon
    Simon was one of the nuclear test detonations conducted during the U.S. Operation Upshot–Knothole series in 1953.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aab3d2c81908a3b5a5c127c4aac completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.