Triple

T10040312
Position Surface form Disambiguated ID Type / Status
Subject History Books E205277 entity
Predicate producer P490 FINISHED
Object Peter Katis E740851 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: Peter Katis | Statement: [History Books, producer, Peter Katis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Katis
Context triple: [History Books, producer, Peter Katis]
  • A. Peter Katis chosen
    Peter Katis is an American record producer and audio engineer best known for his work with indie and alternative rock bands such as The National, Interpol, and Frightened Rabbit.
  • B. Peter Mamakos
    Peter Mamakos was an American character actor known for his numerous supporting roles in mid-20th-century film and television, often portraying ethnic or villainous characters.
  • C. Nick Patsaouras
    Nick Patsaouras is a Greek-American engineer and public transportation advocate known for his influential role in shaping transit policy and infrastructure in Los Angeles.
  • D. Peter Christelis
    Peter Christelis is a film editor best known for his work on the drama film "A Mighty Heart."
  • E. Michael Satrazemis
    Michael Satrazemis is a television director and producer best known for his extensive work in The Walking Dead franchise, including directing and producing various spin-off 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee2e6d881908cfa0579f9be32e4 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d354d7202c81908d42107c346900dc completed April 6, 2026, 6:38 a.m.
Created at: March 30, 2026, 8:55 p.m.