Triple

T10394702
Position Surface form Disambiguated ID Type / Status
Subject Generation Kill E244981 entity
Predicate portraysRealPerson P10301 FINISHED
Object Evan Wright E874737 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: Evan Wright | Statement: [Generation Kill, portraysRealPerson, Evan Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Wright
Context triple: [Generation Kill, portraysRealPerson, Evan Wright]
  • A. Evan Wright chosen
    Evan Wright is an American journalist and author best known for his book "Generation Kill," which chronicles his experiences embedded with U.S. Marines during the 2003 invasion of Iraq.
  • B. Evan Ross
    Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
  • C. Evan Burrows
    Evan Burrows is a member of the band Wand, an American rock group known for its eclectic blend of psychedelic, garage, and experimental rock.
  • D. Evan Washburn
    Evan Washburn is an American sports reporter best known as a sideline correspondent for CBS’s NFL coverage, including major events like the Super Bowl.
  • E. Evan Dunsky
    Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9ce6bb08190bfeaba98a126526d completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d96b1d5b388190841ed0df2145ad7a completed April 10, 2026, 9:26 p.m.
Created at: April 6, 2026, 12:06 p.m.