Triple

T15600362
Position Surface form Disambiguated ID Type / Status
Subject Escape from New York E375013 entity
Predicate character P662 FINISHED
Object Maggie
Maggie is a tough, self-sacrificing resistance fighter in the dystopian action film "Escape from New York."
 E1167350 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: [Escape from New York, character, Maggie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maggie
Context triple: [Escape from New York, character, Maggie]
  • A. Maggie
    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 1928 comic novel by W. Somerset Maugham that explores themes of love, social class, and personal compromise.
  • C. Maggie
    "Maggie" is a novel by American author Charles Martin, known for its emotionally driven storytelling and themes of love, loss, and redemption.
  • D. Maggie
    "Maggie" is a 2015 post-apocalyptic drama film starring Arnold Schwarzenegger as a father caring for his daughter during her slow transformation into a zombie.
  • 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. 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: [Escape from New York, character, Maggie]
Generated description
Maggie is a tough, self-sacrificing resistance fighter in the dystopian action film "Escape from New York."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maggie
Target entity description: Maggie is a tough, self-sacrificing resistance fighter in the dystopian action film "Escape from New York."
  • A. Maggie
    "Maggie" is a 2015 post-apocalyptic drama film starring Arnold Schwarzenegger as a father caring for his daughter during her slow transformation into a zombie.
  • 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 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.
  • 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 novel by American author Charles Martin, known for its emotionally driven storytelling and themes of love, loss, and redemption.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e621fc4819097e8e85e7ddfdc6c completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56cf8e5c8190bf13114ab0a834de completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff5acd35648190a204b78f7fb9619c completed May 9, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff5b3f71148190a96c6f396512c1fd completed May 9, 2026, 4:05 p.m.
Created at: April 10, 2026, 4:12 a.m.