Triple

T6449057
Position Surface form Disambiguated ID Type / Status
Subject The Mating Season E139816 entity
Predicate basedOn P98 FINISHED
Object Maggie
Maggie is a 1928 comic novel by W. Somerset Maugham that explores themes of love, social class, and personal compromise.
 E594461 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: [The Mating Season, basedOn, Maggie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maggie
Context triple: [The Mating Season, basedOn, 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 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 Pierce
    Maggie Pierce is a cardiothoracic surgeon and the biological half-sister of Meredith Grey on the long-running medical drama series Grey’s Anatomy.
  • E. Maggie Seaver
    Maggie Seaver is a central character on the sitcom "Growing Pains," portrayed as a working mother balancing her journalism career with raising her family.
  • 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: [The Mating Season, basedOn, Maggie]
Generated description
Maggie is a 1928 comic novel by W. Somerset Maugham that explores themes of love, social class, and personal compromise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maggie
Target entity description: Maggie is a 1928 comic novel by W. Somerset Maugham that explores themes of love, social class, and personal compromise.
  • 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 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 Pierce
    Maggie Pierce is a cardiothoracic surgeon and the biological half-sister of Meredith Grey on the long-running medical drama series Grey’s Anatomy.
  • E. Maggie Seaver
    Maggie Seaver is a central character on the sitcom "Growing Pains," portrayed as a working mother balancing her journalism career with raising her family.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b1a61c81908610264c098d25b0 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bd290c481909f543cc03eee98bf completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64dce99fc819089fbe8925dc52b7a completed March 27, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_69c64e5cd1b88190abcdc8af02991d1d completed March 27, 2026, 9:31 a.m.
Created at: March 22, 2026, 4:47 p.m.