Triple

T3906616
Position Surface form Disambiguated ID Type / Status
Subject Gwen Cooper E87216 entity
Predicate associatedWith P37 FINISHED
Object Jack Harkness E88094 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: Jack Harkness | Statement: [Gwen Cooper, associatedWith, Jack Harkness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Harkness
Context triple: [Gwen Cooper, associatedWith, Jack Harkness]
  • A. Captain Jack Harkness chosen
    Captain Jack Harkness is a charismatic, time-traveling former Time Agent and immortal leader of the Torchwood Institute in the Doctor Who universe.
  • B. Daniel Grayson
    Daniel Grayson is a central character in the TV drama "Revenge," known as the wealthy and conflicted heir of the powerful Grayson family.
  • C. Alistair Crane
    Alistair Crane is a wealthy, manipulative patriarch and central antagonist in the American soap opera "Passions."
  • D. Gary Harkness
    Gary Harkness is the introspective college football player and narrator of Don DeLillo’s novel "End Zone," through whom themes of war, language, and existential anxiety are explored.
  • E. Rose Tyler
    Rose Tyler is a companion of the Doctor in the British science fiction television series Doctor Who, known for her pivotal role in the revived era of the show.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed1290e48190aaf2d8b2a7be707a completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5337f3ae08190ba68fc20a3ba4692 completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:22 p.m.