Triple

T20124445
Position Surface form Disambiguated ID Type / Status
Subject Aaron Cometbus E490709 entity
Predicate givenName P17 FINISHED
Object Aaron 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: Aaron | Statement: [Aaron Cometbus, givenName, Aaron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron
Context triple: [Aaron Cometbus, givenName, Aaron]
  • A. Aaron
    Aaron is a prominent biblical figure known as Moses’ brother and the first high priest of the Israelites.
  • B. Aaron chosen
    Aaron is a common given name and surname of Hebrew origin, historically associated with the biblical brother of Moses and widely used in many cultures today.
  • C. Aaron
    Aaron is the central character in the 1999 film "Titus," a stylized adaptation of Shakespeare’s tragedy "Titus Andronicus."
  • D. Aaron
    Aaron is a key character in "The Walking Dead," known as a former recruiter and later influential leader within the Alexandria Safe-Zone community.
  • E. Aaron
    Aaron is the central protagonist of the British survival horror film "For Those in Peril," a troubled young man struggling with grief and survivor’s guilt after a tragic fishing accident in his Scottish coastal village.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667412b888190b43f7dd1ccdbad01 completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:30 p.m.