Triple

T22881036
Position Surface form Disambiguated ID Type / Status
Subject Annie Affleck E567467 entity
Predicate honorificPrefixOfSpouse P150114 FINISHED
Object Sir E20965 NE FINISHED

How this triple was built (3 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: Sir | Statement: [Annie Affleck, honorificPrefixOfSpouse, Sir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir
Context triple: [Annie Affleck, honorificPrefixOfSpouse, Sir]
  • A. Sir
    "Sir" is a 1993 Hindi-language drama film directed by Mahesh Bhatt, known for its emotional story about a principled college professor and featuring a acclaimed performance by Paresh Rawal.
  • B. Sir chosen
    Sir is a formal English honorific title traditionally used to address or refer to a knight or baronet.
  • C. SIR
    SIR is the IATA airport code for Sion Airport, a regional airport serving the town of Sion in the Swiss canton of Valais.
  • D. SIR
    SIR is a professional medical society representing physicians who specialize in minimally invasive, image-guided interventional radiology procedures.
  • E. SIR
    SIR is an educational program that engages students in guided inquiry and research-based learning experiences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: honorificPrefixOfSpouse
Context triple: [Annie Affleck, honorificPrefixOfSpouse, Sir]
  • A. honorificPrefix
    Indicates the formal title or respectful prefix (e.g., "Dr.", "Mr.", "Prof.") used before a person's name to denote status, role, or honor.
  • B. honorificPrefixOfFather
    Indicates that the subject is an honorific prefix or title used before the name of the object’s father.
  • C. spouseOfHonouree
    Indicates that one person is the spouse (married partner) of the honouree.
  • D. honorificPartOfName
    Indicates that an honorific title or form of address is included as part of a person's full name.
  • E. spouseNameAfterEnnoblement
    Indicates that the predicate specifies the spouse’s name as it is used after the spouse has been ennobled or granted a noble title.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5c1ed88190aeac131c5aff6102 completed April 29, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae9e1a24819087d826cf677fcad5 completed May 19, 2026, 12:28 a.m.
PD Predicate disambiguation batch_69ef3b6b2e2481908258156937b5a745 completed April 27, 2026, 10:33 a.m.
PDg Predicate description generation batch_69ef538a115081908982597f79355840 completed April 27, 2026, 12:16 p.m.
Created at: April 17, 2026, 3:39 p.m.