Triple

T23622142
Position Surface form Disambiguated ID Type / Status
Subject Canens E583348 entity
Predicate spouseTitleOfPartner P17687 FINISHED
Object King Picus
King Picus is a figure from Roman mythology, a Latian king famed for his beauty and prophetic powers who was transformed into a woodpecker by the sorceress Circe.
E1597182 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: King Picus | Statement: [Canens, spouseTitleOfPartner, King Picus]
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: King Picus
Triple: [Canens, spouseTitleOfPartner, King Picus]
Generated description
King Picus is a figure from Roman mythology, a Latian king famed for his beauty and prophetic powers who was transformed into a woodpecker by the sorceress Circe.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spouseTitleOfPartner
Context triple: [Canens, spouseTitleOfPartner, King Picus]
  • A. isSpouseOfTitle
    Indicates that one entity holds a spousal relationship specifically associated with a titled or honorific status of another entity.
  • B. spouseTitleOfSecondHusband
    Indicates that the object is the formal title or designation held by a person’s second husband.
  • C. hasSpouseTitle chosen
    Indicates that a person’s spouse holds a particular title or honorific designation.
  • D. titleFromSpouse
    Indicates that an entity holds a title or honorific that is derived from or acquired through their spouse.
  • E. spouseOfRole
    Indicates that one role is the spouse (husband, wife, or equivalent marital partner) of another role.
  • 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_69e248fc8d74819091bd5baef2f36f6f completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b179ebf48190a34ad0d3ddf0e103 completed April 29, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f459865c48190b4dd42d5dd221f7c completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f4763990081908e12d512d26d3004 completed May 21, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0f48043bb4819088b982d9cce3b962 completed May 21, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69f118d0e0588190a86527a7747c5427 completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:46 p.m.