Triple

T15798608
Position Surface form Disambiguated ID Type / Status
Subject The Make-Up E383043 entity
Predicate hasMember P10 FINISHED
Object J. Robbins E1146989 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: J. Robbins | Statement: [The Make-Up, hasMember, J. Robbins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. Robbins
Context triple: [The Make-Up, hasMember, J. Robbins]
  • A. J. Robbins chosen
    J. Robbins is an American musician and record producer known for his work with influential indie and post-hardcore bands such as Jawbox and Burning Airlines.
  • B. Michael Lembeck
    Michael Lembeck is an American director and actor best known for his work on family comedies and popular television series such as "Friends."
  • C. Terry Dubrow
    Terry Dubrow is an American plastic surgeon and television personality best known for co-hosting the reality series "Botched" and appearing on various other medical and lifestyle TV shows.
  • D. Daniel Robbins
    Daniel Robbins is an American software developer best known as the founder and chief architect of the Gentoo Linux distribution.
  • E. J.D. Roth
    J.D. Roth is an American television producer and host best known for creating and producing numerous reality and game shows, including weight-loss and competition series.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4e00d348190bc98917c4098ec2f completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90b08ab48190892c700f5eb261d8 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.