Triple

T13624810
Position Surface form Disambiguated ID Type / Status
Subject Sam Winchester E325549 entity
Predicate ally P4662 FINISHED
Object Jo Harvelle E1023197 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: Jo Harvelle | Statement: [Sam Winchester, ally, Jo Harvelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo Harvelle
Context triple: [Sam Winchester, ally, Jo Harvelle]
  • A. Jo Harvelle chosen
    Jo Harvelle is a young, determined hunter of supernatural creatures and ally of the Winchester brothers in the television series "Supernatural."
  • B. Mike Riley
    Mike Riley is an American football coach best known for his long tenure leading the Oregon State Beavers and multiple stints as a head coach in both college football and the NFL.
  • C. Greg Richling
    Greg Richling is an American bassist and music producer best known for his long tenure with the rock band The Wallflowers.
  • D. Len Kaminski
    Len Kaminski is an American comic book writer best known for his work at Marvel Comics in the 1990s, particularly on Iron Man-related titles and other superhero series.
  • E. Kevin Loughery
    Kevin Loughery is a former American professional basketball player and coach best known for leading the New York Nets to multiple ABA championships in the 1970s.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9b0b648190afee93121483f45f completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa4c5fc8190bd791f181fce2aa1 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.