Triple

T10784079
Position Surface form Disambiguated ID Type / Status
Subject Maggie Verver E254406 entity
Predicate givenName P17 FINISHED
Object Maggie E103868 NE FINISHED

How this triple was built (2 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: [Maggie Verver, givenName, Maggie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maggie
Context triple: [Maggie Verver, givenName, Maggie]
  • A. Maggie chosen
    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 novel by American author Charles Martin, known for its emotionally driven storytelling and themes of love, loss, and redemption.
  • D. 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.
  • E. Maggie
    Maggie is a 1928 comic novel by W. Somerset Maugham that explores themes of love, social class, and personal compromise.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d1b4bc8190871dd21265065705 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5609bf9c81908f47591f74c04701 completed April 14, 2026, 2:58 p.m.
Created at: April 8, 2026, 9:17 p.m.