Triple

T20741988
Position Surface form Disambiguated ID Type / Status
Subject Vala Mal Doran E510462 entity
Predicate closeColleague P11349 FINISHED
Object Daniel Jackson NE NERFINISHED

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: Daniel Jackson | Statement: [Vala Mal Doran, closeColleague, Daniel Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Jackson
Context triple: [Vala Mal Doran, closeColleague, Daniel Jackson]
  • A. Daniel Jackson chosen
    Daniel Jackson is a fictional archaeologist and linguist best known as a central character in the Stargate science fiction franchise.
  • B. Private Daniel Jackson
    Private Daniel Jackson is a skilled American Army sniper and devoutly religious soldier in the film "Saving Private Ryan," serving under Captain John H. Miller during World War II.
  • C. John Clark
    John Clark is a jazz French horn player best known for his work in fusion and contemporary jazz ensembles, including his tenure with the Mahavishnu Orchestra.
  • D. John Clark
    John Clark was an early New England settler and mariner after whom Clark’s Island in Plymouth, Massachusetts, is named.
  • E. John Clark
    John Clark is a highly skilled and ruthless covert operative in Tom Clancy’s Jack Ryan universe, known for his expertise in special operations and intelligence work.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20f9670819082199de21a8d9818 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.