Triple

T28783357
Position Surface form Disambiguated ID Type / Status
Subject Paul Thagard E726733 entity
Predicate notableWork P4 FINISHED
Object Coherence in Thought and Action
Coherence in Thought and Action is a philosophical and cognitive science book by Paul Thagard that develops a unified theory of how coherence underlies human reasoning, decision-making, and action.
E1834302 NE 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: Coherence in Thought and Action | Statement: [Paul Thagard, notableWork, Coherence in Thought and Action]
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: Coherence in Thought and Action
Triple: [Paul Thagard, notableWork, Coherence in Thought and Action]
Generated description
Coherence in Thought and Action is a philosophical and cognitive science book by Paul Thagard that develops a unified theory of how coherence underlies human reasoning, decision-making, and action.

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_69f0319aabec81908368720196f69a35 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f6584e5b1c8190a83bef97dde015af completed May 2, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a26f87208190b76fbcbfe4d88c98 completed June 6, 2026, 10:42 p.m.
NEDg Description generation batch_6a24a695a9988190bd815507f8027193 completed June 6, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_6a24aab9053081909350507082946a76 completed June 6, 2026, 11:18 p.m.
Created at: April 28, 2026, 6:20 a.m.