Triple

T20034901
Position Surface form Disambiguated ID Type / Status
Subject June Havoc E497229 entity
Predicate notableWork P4 FINISHED
Object Marathon ’33 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: Marathon ’33 | Statement: [June Havoc, notableWork, Marathon ’33]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marathon ’33
Context triple: [June Havoc, notableWork, Marathon ’33]
  • A. Marathon '33 chosen
    Marathon '33 is a stage play by June Havoc that dramatizes the grueling world of Depression-era dance marathons, drawing on her own experiences as a contestant.
  • B. Marathon
    Marathon is a city in the Florida Keys known for its island chain, boating and fishing culture, and position along the historic route of the Overseas Highway and former Overseas Railroad.
  • C. Marathon
    Marathon is a small town in northwestern Ontario, Canada, known historically for its forestry and mining industries along the north shore of Lake Superior.
  • D. Marathon
    "Marathon" is a 2003 studio album by the legendary Latin rock guitarist Carlos Santana, blending rock, jazz, and Latin influences.
  • E. Marathon
    Marathon is a pioneering 1994 science fiction first-person shooter video game by Bungie, known for its deep narrative, innovative multiplayer, and influence on later titles like Halo.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e76f8481909c006921cbbfd060 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.