Triple

T20121552
Position Surface form Disambiguated ID Type / Status
Subject Martin Campbell E490619 entity
Predicate directed P7373 FINISHED
Object Three for All
Three for All is a 1975 British musical comedy film featuring members of the pop group Showaddywaddy and directed by Martin Campbell.
 E1413300 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: Three for All | Statement: [Martin Campbell, directed, Three for All]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Three for All
Context triple: [Martin Campbell, directed, Three for All]
  • A. All for One
    "All for One" is a song featured on the album "The Boss."
  • B. All in All
    "All in All" is a song best known as a 1978 disco and R&B hit by the American group Earth, Wind & Fire.
  • C. These Three
    These Three is a 1936 American drama film directed by William Wyler, adapted from Lillian Hellman’s play and centered on the devastating impact of a malicious lie on two women’s lives.
  • D. Time for Three
    Time for Three is a genre-blending string trio known for fusing classical music with jazz, pop, and other contemporary styles in highly energetic performances.
  • E. Once and for All
    "Once and for All" is a climactic, rallying anthem from the stage musical Newsies that captures the newsboys’ unified stand against injustice.
  • 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: Three for All
Triple: [Martin Campbell, directed, Three for All]
Generated description
Three for All is a 1975 British musical comedy film featuring members of the pop group Showaddywaddy and directed by Martin Campbell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Three for All
Target entity description: Three for All is a 1975 British musical comedy film featuring members of the pop group Showaddywaddy and directed by Martin Campbell.
  • A. All for One
    "All for One" is a song featured on the album "The Boss."
  • B. All in All
    "All in All" is a song best known as a 1978 disco and R&B hit by the American group Earth, Wind & Fire.
  • C. These Three
    These Three is a 1936 American drama film directed by William Wyler, adapted from Lillian Hellman’s play and centered on the devastating impact of a malicious lie on two women’s lives.
  • D. Time for Three
    Time for Three is a genre-blending string trio known for fusing classical music with jazz, pop, and other contemporary styles in highly energetic performances.
  • E. Once and for All
    "Once and for All" is a climactic, rallying anthem from the stage musical Newsies that captures the newsboys’ unified stand against injustice.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673e79dc81908fbd387c067fce79 completed April 20, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082dd54c58819094d85cb8f110aece completed May 16, 2026, 8:41 a.m.
NEDg Description generation batch_6a082e57f8208190a5a6272288394323 completed May 16, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_6a08302457f8819091fbd2588c695f97 completed May 16, 2026, 8:51 a.m.
Created at: April 11, 2026, 11:30 p.m.