Triple

T4807239
Position Surface form Disambiguated ID Type / Status
Subject Old Man E106976 entity
Predicate producer P490 FINISHED
Object Elliot Mazer E472191 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: Elliot Mazer | Statement: [Old Man, producer, Elliot Mazer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elliot Mazer
Context triple: [Old Man, producer, Elliot Mazer]
  • A. Elliot Mazer chosen
    Elliot Mazer was an American record producer best known for his work with Neil Young and other major rock and folk artists in the 1970s.
  • B. Elliot Geisinger
    Elliot Geisinger is a film producer best known for his work on the horror movie "The Amityville Horror."
  • C. Larry Hillblom
    Larry Hillblom was an American businessman and entrepreneur best known as a co-founder of the global logistics and courier company DHL.
  • D. Eli Meyer
    Eli Meyer is one of the children of Stephenie Meyer, the bestselling author of the "Twilight" series.
  • E. Jacob Portman
    Jacob Portman is the teenage protagonist of the fantasy film "Miss Peregrine's Home for Peculiar Children," who discovers a hidden world of children with extraordinary abilities and his own unique power.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c69099c8190956b6df42bb922c8 completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5ca47a588190ac15fabfdab8b2da completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:23 p.m.