Triple

T20744176
Position Surface form Disambiguated ID Type / Status
Subject Peter’s Friends E510525 entity
Predicate character P662 FINISHED
Object Maggie
Maggie is a central character in the 1992 British comedy-drama film "Peter’s Friends," part of an ensemble of university friends reuniting after years apart.
 E510524 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: Maggie | Statement: [Peter’s Friends, character, Maggie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maggie
Context triple: [Peter’s Friends, character, Maggie]
  • A. Maggie
    Maggie is a common diminutive form of the given name Margaret, often used as a familiar or affectionate nickname.
  • B. Maggie
    Maggie is a character portrayed by Australian actress Robin McLeavy, best known from the horror film "The Loved Ones."
  • C. Maggie
    Maggie is a 1928 comic novel by W. Somerset Maugham that explores themes of love, social class, and personal compromise.
  • D. Maggie
    "Maggie" is a novel by American author Charles Martin, known for its emotionally driven storytelling and themes of love, loss, and redemption.
  • E. Maggie
    Maggie is a tough, self-sacrificing resistance fighter in the dystopian action film "Escape from New York."
  • 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: Maggie
Triple: [Peter’s Friends, character, Maggie]
Generated description
Maggie is a central character in the 1992 British comedy-drama film "Peter’s Friends," part of an ensemble of university friends reuniting after years apart.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maggie
Target entity description: Maggie is a central character in the 1992 British comedy-drama film "Peter’s Friends," part of an ensemble of university friends reuniting after years apart.
  • A. Maggie chosen
    Maggie is a central character in the 1992 British ensemble comedy-drama film "Peter’s Friends," which follows a group of Cambridge university friends reuniting after a decade.
  • B. Maggie
    Maggie is a character portrayed by Australian actress Robin McLeavy, best known from the horror film "The Loved Ones."
  • C. Maggie
    Maggie is a tough, self-sacrificing resistance fighter in the dystopian action film "Escape from New York."
  • D. Maggie
    Maggie is a 1928 comic novel by W. Somerset Maugham that explores themes of love, social class, and personal compromise.
  • E. Maggie
    Maggie is a common diminutive form of the given name Margaret, often used as a familiar or affectionate nickname.
  • F. None of above.

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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c21197088190951a4c4a7e765891 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e8407180819092dde86d0377c6cc completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e93ff7dc8190b4668b965e90ab10 completed May 16, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_6a08ea02a1688190bc7944f67067bcfa completed May 16, 2026, 10:04 p.m.
Created at: April 16, 2026, 12:33 p.m.