Triple

T7616094
Position Surface form Disambiguated ID Type / Status
Subject Christian McCaffrey E172363 entity
Predicate playsRoleInOffense P78138 FINISHED
Object feature back LITERAL 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: feature back | Statement: [Christian McCaffrey, playsRoleInOffense, feature back]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: playsRoleInOffense
Context triple: [Christian McCaffrey, playsRoleInOffense, feature back]
  • A. offensiveTackle
    Indicates that an entity plays the offensive tackle position, responsible for blocking and protecting on the offensive line in a gridiron football context.
  • B. roleAtTampaBayBuccaneers
    Indicates that an entity holds or held a specific role or position within the Tampa Bay Buccaneers organization.
  • C. defensiveRole
    Indicates that an entity serves a protective or guarding function in relation to another entity or context.
  • D. offensiveCoordinator
    Indicates that one entity serves as the offensive coordinator (the coach responsible for directing the offensive unit) for another entity, typically a sports team.
  • E. playedWithQuarterback
    Indicates that one player participated on the same team at the same time as a specific quarterback, sharing game or practice play together.
  • F. None of above. chosen

Provenance (4 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fe73ff7c8190ab1218d97b37416d completed March 27, 2026, 10:02 p.m.
PD Predicate disambiguation batch_69c6f4e725a88190b1f05dd224f7f4f2 completed March 27, 2026, 9:21 p.m.
PDg Predicate description generation batch_69c6fe7323b0819081664662d2f26937 completed March 27, 2026, 10:02 p.m.
Created at: March 27, 2026, 3:55 p.m.