Triple

T14732188
Position Surface form Disambiguated ID Type / Status
Subject Gary Harkness E346101 entity
Predicate protagonistOf P9202 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: [Gary Harkness, protagonistOf, End Zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: End Zone
Context triple: [Gary Harkness, protagonistOf, 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 a traditional Yale University fight song closely associated with the Yale Bulldogs athletic teams and their sporting events.
  • D. 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.
  • E. Down the Field
    "Down the Field" is a traditional Rutgers University fight song commonly performed at athletic events to rally school spirit and support for the Scarlet Knights.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26311c8819093a81ff0fa43b33b completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24ac17888190bda346df75d37620 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:29 a.m.