Triple

T13303633
Position Surface form Disambiguated ID Type / Status
Subject Mo Ostin E316876 entity
Predicate name P16 FINISHED
Object Mo Ostin E316876 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: Mo Ostin | Statement: [Mo Ostin, name, Mo Ostin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mo Ostin
Context triple: [Mo Ostin, name, Mo Ostin]
  • A. Mo Ostin chosen
    Mo Ostin was a legendary American music industry executive best known for his long tenure leading Warner Bros. Records and his influential role in shaping the careers of numerous iconic artists.
  • B. Joel Riskin
    Joel Riskin is an individual notable enough within his field or community to be specifically cited as a prominent bearer of the surname Riskin.
  • C. Michael P. Steinberg
    Michael P. Steinberg is an American historian and musicologist known for his scholarship on German cultural and intellectual history and his leadership roles in higher education.
  • D. Tom Dowd
    Tom Dowd was a pioneering American recording engineer and producer renowned for his innovative studio techniques and work with major artists across jazz, rock, and soul music.
  • E. Martin Bregman
    Martin Bregman was an American film producer best known for producing iconic crime dramas such as "Serpico," "Dog Day Afternoon," and "Scarface."
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a60eb08190bf0dc098ca7dc342 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e161008190a48275ef54225d56 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.