Triple

T19119068
Position Surface form Disambiguated ID Type / Status
Subject Aaron Abramovich E467988 entity
Predicate givenName P17 FINISHED
Object Aaron E1230163 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: Aaron | Statement: [Aaron Abramovich, givenName, Aaron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron
Context triple: [Aaron Abramovich, givenName, Aaron]
  • A. Aaron
    Aaron is a prominent biblical figure known as Moses’ brother and the first high priest of the Israelites.
  • B. 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.
  • C. 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.
  • D. Aaron
    Aaron is the central character in the 1999 film "Titus," a stylized adaptation of Shakespeare’s tragedy "Titus Andronicus."
  • E. 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.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3c756a88190942930e6ae7242a7 completed April 20, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e67400088190a58e085281a62a54 completed May 14, 2026, 3:12 p.m.
Created at: April 10, 2026, 12:05 p.m.