Triple

T10104204
Position Surface form Disambiguated ID Type / Status
Subject Carey Mulligan E216276 entity
Predicate notableWork P4 FINISHED
Object Maestro
Maestro is a biographical drama film centered on the life and relationships of legendary composer and conductor Leonard Bernstein.
E840696 NE FINISHED

How this triple was built (4 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: Maestro | Statement: [Carey Mulligan, notableWork, Maestro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maestro
Context triple: [Carey Mulligan, notableWork, Maestro]
  • A. Maestro
    Maestro is a global debit card and electronic payment brand operated by Mastercard, commonly used for point-of-sale and ATM transactions.
  • B. Maestro
    Maestro is a powerful, villainous future version of the Hulk who possesses Bruce Banner’s intellect combined with the Hulk’s immense strength and rules as a tyrant in a post-apocalyptic world.
  • C. Maestro
    Maestro is a celebrated nickname for Swiss tennis legend Roger Federer, highlighting his graceful, masterful style of play.
  • D. Maestro
    Maestro is a Gibson-owned brand best known for its classic guitar effects pedals and related musical accessories.
  • E. MAESTRO
    MAESTRO is a Canadian satellite instrument designed to measure atmospheric trace gases and ozone-related chemistry from orbit.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maestro
Triple: [Carey Mulligan, notableWork, Maestro]
Generated description
Maestro is a biographical drama film centered on the life and relationships of legendary composer and conductor Leonard Bernstein.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maestro
Target entity description: Maestro is a biographical drama film centered on the life and relationships of legendary composer and conductor Leonard Bernstein.
  • A. Maestro
    Maestro is a global debit card and electronic payment brand operated by Mastercard, commonly used for point-of-sale and ATM transactions.
  • B. Maestro
    Maestro is a powerful, villainous future version of the Hulk who possesses Bruce Banner’s intellect combined with the Hulk’s immense strength and rules as a tyrant in a post-apocalyptic world.
  • C. Maestro
    Maestro is a celebrated nickname for Swiss tennis legend Roger Federer, highlighting his graceful, masterful style of play.
  • D. Maestro
    Maestro is a Gibson-owned brand best known for its classic guitar effects pedals and related musical accessories.
  • E. MAESTRO
    MAESTRO is a Canadian satellite instrument designed to measure atmospheric trace gases and ozone-related chemistry from orbit.
  • F. None of above. chosen

Provenance (5 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09c961081909848acec4438c300 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6dcca848190851f6f1968fe244c completed April 5, 2026, 7:24 p.m.
NEDg Description generation batch_69d2b7e64fcc8190805a6a31c8a3786f completed April 5, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_69d2b883959481909f330a26863621ae completed April 5, 2026, 7:31 p.m.
Created at: March 30, 2026, 9:03 p.m.