Triple

T10528062
Position Surface form Disambiguated ID Type / Status
Subject Henry Tourner Asher E248357 entity
Predicate familyName P18 FINISHED
Object Asher E65911 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: Asher | Statement: [Henry Tourner Asher, familyName, Asher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asher
Context triple: [Henry Tourner Asher, familyName, Asher]
  • A. Asher chosen
    Asher is a biblical figure, one of the twelve sons of Jacob and the ancestor of the Israelite Tribe of Asher.
  • B. Asher Blinkoff
    Asher Blinkoff is an American child voice actor best known for voicing Dennis in the Hotel Transylvania animated film series.
  • C. Asher Lenz
    Asher Lenz is a composer and music producer known for his work in film and television scores, often collaborating with fellow composer Ari Posner.
  • D. Jordan Asher
    Jordan Asher is an American musician, singer-songwriter, and producer best known for his experimental pop and electronic project Boots.
  • E. Jeremy Ashkenas
    Jeremy Ashkenas is an American programmer and open-source developer best known for creating the CoffeeScript language and contributing to projects like Backbone.js and Underscore.js.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f6f4a88190ae6e0cc0bcbff0c5 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e31350c8190a7493cdc33cc450a completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:30 p.m.