Triple

T16640209
Position Surface form Disambiguated ID Type / Status
Subject Farewell E404310 entity
Predicate producer P490 FINISHED
Object Alexander Grant E1224344 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: Alexander Grant | Statement: [Farewell, producer, Alexander Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Grant
Context triple: [Farewell, producer, Alexander Grant]
  • A. Alexander Grant
    Alexander Grant was a British colonial official and military officer who served as a prominent early administrator in what is now Ontario, Canada.
  • B. Alexander Grant
    Alexander Grant, better known as Alex da Kid, is a British record producer and songwriter recognized for crafting hit songs across hip hop and pop music.
  • C. Alexander Grant
    Alexander Grant was a prominent Scottish ballet dancer and choreographer who became a leading figure in international ballet, including leadership roles in major companies.
  • D. Alexander Grant chosen
    Alexander Grant is a writer known for his work on the piece titled "Farewell."
  • E. Andrew McAlpine
    Andrew McAlpine is a British production designer and art director known for his distinctive visual work on films such as "Sid and Nancy."
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad0e5408190aef8b5577be73057 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bb4cec819091d9b7b2a09248ee completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.