Triple

T1186760
Position Surface form Disambiguated ID Type / Status
Subject Illumination Entertainment E25264 entity
Predicate produced P490 FINISHED
Object Sing E134810 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: Sing | Statement: [Illumination Entertainment, produced, Sing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sing
Context triple: [Illumination Entertainment, produced, Sing]
  • A. Sing chosen
    Sing is a 2016 animated musical comedy film featuring a group of anthropomorphic animals who enter a singing competition, produced by Illumination Entertainment.
  • B. Singel
    Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
  • C. Singer
    Singer is a common surname of Germanic origin borne by various notable individuals across literature, music, and other fields.
  • D. Sing 2
    Sing 2 is an animated musical comedy film and sequel to Sing, following a group of animal performers as they attempt to stage an ambitious new show in a glamorous entertainment capital.
  • E. Songsong
    Songsong is the main village and administrative center of the island municipality of Rota in the Northern Mariana Islands.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd5578b08190bbe4089857fbf166 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac764a5f508190a54c8f01cf0b0d11 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:45 p.m.