Triple

T9328103
Position Surface form Disambiguated ID Type / Status
Subject Abe Burrows E224445 entity
Predicate notableWork P4 FINISHED
Object Make a Wish E591707 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: Make a Wish | Statement: [Abe Burrows, notableWork, Make a Wish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Make a Wish
Context triple: [Abe Burrows, notableWork, Make a Wish]
  • A. Make a Wish chosen
    "Make a Wish" is a 1944 Broadway musical comedy with music and lyrics by Hugh Martin, best known for its lighthearted story and melodic score.
  • B. Wish
    Wish is an e-commerce platform and mobile shopping app known for offering a wide variety of low-priced goods shipped directly from merchants, primarily in China, to consumers worldwide.
  • C. Wish
    "Wish" is an aggressive, industrial rock song by Nine Inch Nails, known for its intense sound and Grammy-winning performance.
  • D. One Wish
    "One Wish" is an R&B ballad by American singer Ray J, released in 2005 and best known as his signature hit single.
  • E. A Simple Wish
    A Simple Wish is a 1997 family fantasy-comedy film in which a young girl tries to help her bumbling fairy godfather save the North American Fairy Godmothers Association.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ab90ac8190b5c73f08dd091731 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7f345d88190912b0f10e7ab68be completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:39 p.m.