Triple

T9237549
Position Surface form Disambiguated ID Type / Status
Subject Look at Us E221974 entity
Predicate producer P490 FINISHED
Object Tony Brown E787111 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: Tony Brown | Statement: [Look at Us, producer, Tony Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Brown
Context triple: [Look at Us, producer, Tony Brown]
  • A. Tony Brown chosen
    Tony Brown is an American country music producer and record executive known for shaping the careers of numerous major Nashville artists.
  • B. Jonathan Brown
    Jonathan Brown is a cinematographer best known for his work on major studio comedies and mainstream Hollywood films, including the 2006 reboot of The Pink Panther.
  • C. Greg Brown
    Greg Brown is an American ice hockey coach and former defenseman best known for leading the Boston College Eagles men's hockey program.
  • D. Andrew Brown
    Andrew Brown is a songwriter credited with co-writing the track "Stop and Stare."
  • E. Ian Brown
    Ian Brown is an English singer and songwriter best known as the charismatic frontman of the influential alternative rock band The Stone Roses.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09e553081909cf864635cfc5dcc completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0f37b39648190993874f5789e821e completed April 4, 2026, 11:18 a.m.
Created at: March 30, 2026, 7:29 p.m.