Triple

T529588
Position Surface form Disambiguated ID Type / Status
Subject Ali Hakim E10995 entity
Predicate roleInPlot P11527 FINISHED
Object suitor 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: suitor | Statement: [Ali Hakim, roleInPlot, suitor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInPlot
Context triple: [Ali Hakim, roleInPlot, suitor]
  • A. roleInDialogue
    Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
  • B. roleInText chosen
    Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
  • C. role
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • D. roleInTheology
    Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
  • E. roleInvolves
    Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
  • F. None of above.

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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d4984c8190ac372171b16bb5e4 completed Feb. 28, 2026, 1:47 p.m.
PD Predicate disambiguation batch_69a2f01ac3ec8190a94a05955532c7fa completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.