Triple

T12224964
Position Surface form Disambiguated ID Type / Status
Subject The Sword of Ali Baba E291324 entity
Predicate castMember P1668 FINISHED
Object Peter Mann
Peter Mann is an actor known for his role in the 1965 adventure film "The Sword of Ali Baba."
 E987061 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: Peter Mann | Statement: [The Sword of Ali Baba, castMember, Peter Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Mann
Context triple: [The Sword of Ali Baba, castMember, Peter Mann]
  • A. Paul Mann
    Paul Mann was a Canadian-born character actor best known for his stage and film work in mid-20th-century productions, including prominent roles in classic musicals and dramas.
  • B. Philip Manley
    Philip Manley is an American musician and guitarist best known for his work in the experimental rock and krautrock-influenced band Trans Am.
  • C. Arthur Mann
    Arthur Mann is a music industry figure known for co-founding the influential independent record label Rykodisc.
  • D. Peter Hannan
    Peter Hannan is a British cinematographer best known for his work on the cult classic film "Withnail & I."
  • E. Peter Rinearson
    Peter Rinearson is an American journalist and author best known for co-authoring Bill Gates’s book "The Road Ahead" and for his Pulitzer Prize–winning feature writing.
  • 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: Peter Mann
Triple: [The Sword of Ali Baba, castMember, Peter Mann]
Generated description
Peter Mann is an actor known for his role in the 1965 adventure film "The Sword of Ali Baba."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Mann
Target entity description: Peter Mann is an actor known for his role in the 1965 adventure film "The Sword of Ali Baba."
  • A. Paul Mann
    Paul Mann was a Canadian-born character actor best known for his stage and film work in mid-20th-century productions, including prominent roles in classic musicals and dramas.
  • B. Philip Manley
    Philip Manley is an American musician and guitarist best known for his work in the experimental rock and krautrock-influenced band Trans Am.
  • C. Arthur Mann
    Arthur Mann is a music industry figure known for co-founding the influential independent record label Rykodisc.
  • D. Peter Hannan
    Peter Hannan is a British cinematographer best known for his work on the cult classic film "Withnail & I."
  • E. Peter Rinearson
    Peter Rinearson is an American journalist and author best known for co-authoring Bill Gates’s book "The Road Ahead" and for his Pulitzer Prize–winning feature writing.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b873c308190a2c1d02723cfa2e9 completed May 2, 2026, 7:07 p.m.
NEDg Description generation batch_69f64ce0ca288190bbbcb5459f914c19 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64df6488481909dea8387e7000d15 completed May 2, 2026, 7:18 p.m.
Created at: April 8, 2026, 9:51 p.m.