Triple

T3281925
Position Surface form Disambiguated ID Type / Status
Subject Players E68890 entity
Predicate authorOtherWork P42081 FINISHED
Object End Zone E68888 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: End Zone | Statement: [Players, authorOtherWork, End Zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: End Zone
Context triple: [Players, authorOtherWork, End Zone]
  • A. End Zone chosen
    End Zone is a satirical novel by Don DeLillo that juxtaposes American college football with themes of war, nuclear annihilation, and existential anxiety.
  • B. Down the Field
    "Down the Field" is a traditional fight song closely associated with the University of Tennessee Volunteers and their athletic events.
  • C. Down the Field
    "Down the Field" is the traditional fight song of Syracuse University, closely associated with the spirit and identity of the Syracuse Orange athletic teams.
  • D. End Zone Food Court
    End Zone Food Court is a large, sports-themed quick-service dining venue at Disney’s All-Star Sports Resort offering a variety of casual American and international food options.
  • E. The Red Zone
    The Red Zone is the official Stanford University student cheering section known for its energetic support at Cardinal football games.
  • 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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0345d448190a1f936abe7748e33 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85528c88190b1e98c680baf3fa8 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.