Triple

T27034030
Position Surface form Disambiguated ID Type / Status
Subject Miss Universe 1987 E681002 entity
Predicate fourthRunnerUp P14675 FINISHED
Object Geraldine Edith Asis
Geraldine Edith Asis is a Filipina beauty queen best known for representing the Philippines at Miss Universe 1987, where she achieved a top-five finish.
 E1763586 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: Geraldine Edith Asis | Statement: [Miss Universe 1987, fourthRunnerUp, Geraldine Edith Asis]
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: Geraldine Edith Asis
Triple: [Miss Universe 1987, fourthRunnerUp, Geraldine Edith Asis]
Generated description
Geraldine Edith Asis is a Filipina beauty queen best known for representing the Philippines at Miss Universe 1987, where she achieved a top-five finish.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: fourthRunnerUp
Context triple: [Miss Universe 1987, fourthRunnerUp, Geraldine Edith Asis]
  • A. fourthPlace chosen
    Indicates that an entity holds the fourth position or rank in an ordered sequence, competition, or hierarchy.
  • B. conferenceOfRunnerUp
    Indicates the conference or league affiliation to which the runner-up entity belongs.
  • C. WorldCupFourthPlace
    Indicates that an entity finished in fourth place in a FIFA World Cup tournament.
  • D. fourthRoundOpponent
    Indicates that one entity is the opponent faced by another entity in the fourth round of a competition or tournament.
  • E. fourthPlaceQualifiedFor
    Indicates that the entity finishing in fourth place has earned qualification for a subsequent stage, event, or competition.
  • F. None of above.

Provenance (6 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_69eeeb5566f08190813daf896fa3da04 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12625535088190bbae635c232f8bde completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a1267d249a88190a235282844b2c20f completed May 24, 2026, 2:52 a.m.
NED2 Entity disambiguation (via description) batch_6a126836bbe481908024e21ac567dd68 completed May 24, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69f651a931748190a637e631a52bbfaa completed May 2, 2026, 7:34 p.m.
Created at: April 27, 2026, 7:15 a.m.