Triple

T6103620
Position Surface form Disambiguated ID Type / Status
Subject Julia Roberts E136062 entity
Predicate hasSignatureSmile P68157 FINISHED
Object true LITERAL 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: true | Statement: [Julia Roberts, hasSignatureSmile, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSignatureSmile
Context triple: [Julia Roberts, hasSignatureSmile, true]
  • A. hasSign
    Indicates that an entity possesses, displays, or is associated with a particular sign or symbol.
  • B. hasFace
    Indicates that one entity possesses, displays, or is characterized by a face.
  • C. hasSignFor
    Indicates that one entity displays, bears, or provides a sign, symbol, or notice that represents, directs attention to, or gives information about another entity.
  • D. hasSignaturePhrase
    Indicates that an entity (such as a person or character) is associated with a distinctive, repeatedly used phrase that is characteristically theirs.
  • E. hasSignatureRole
    Indicates that an entity holds a primary, defining, or officially recognized role within a given context or relationship.
  • F. None of above. chosen

Provenance (4 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3dbc6c8190b9e3d81e6ca9eeb8 completed March 22, 2026, 9:12 p.m.
PD Predicate disambiguation batch_69c049f5ac988190b62ba565153aaa35 completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04e8e3f2c8190be459ca02f9b315a completed March 22, 2026, 8:18 p.m.
Created at: March 22, 2026, 4:13 p.m.