Triple

T20687558
Position Surface form Disambiguated ID Type / Status
Subject Sloane Ava Simone Haggerty E508459 entity
Predicate childOf P120 FINISHED
Object Ben Haggerty 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: Ben Haggerty | Statement: [Sloane Ava Simone Haggerty, childOf, Ben Haggerty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Haggerty
Context triple: [Sloane Ava Simone Haggerty, childOf, Ben Haggerty]
  • A. Ben Haggerty chosen
    Ben Haggerty, better known by his stage name Macklemore, is an American rapper and songwriter recognized for hits like "Thrift Shop" and "Can't Hold Us."
  • B. Dan Haggerty
    Dan Haggerty was an American actor best known for his portrayal of the gentle mountain man in the film and television series "The Life and Times of Grizzly Adams."
  • C. John Haggerty
    John Haggerty is an American guitarist best known for his influential work in the Chicago punk scene, particularly with the band Naked Raygun.
  • D. Pat Haggerty
    Pat Haggerty was a prominent NFL official best known for serving as the referee in multiple Super Bowls during his long officiating career.
  • E. Ed Hartnett
    Ed Hartnett is an American software developer best known as the creator and primary maintainer of the NetCDF-4 library widely used in scientific computing and data analysis.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beaddfe88190897b8963fa8b2245 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.