Triple

T15849857
Position Surface form Disambiguated ID Type / Status
Subject Abiram E384305 entity
Predicate rebelledAgainst P4698 FINISHED
Object Aaron E100685 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: [Abiram, rebelledAgainst, Aaron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron
Context triple: [Abiram, rebelledAgainst, Aaron]
  • A. Aaron chosen
    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
    Aaron is a key character in "The Walking Dead," known as a former recruiter and later influential leader within the Alexandria Safe-Zone community.
  • D. Aaron
    Aaron is the first name of British rapper and actor Bugzy Malone, a prominent figure in the UK grime scene.
  • E. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cab0fe48190bd6629e071761e91 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa145f2dc819092db805806b6e1d5 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.