Triple
T19992147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Intelligence of Emotions |
E494088
|
entity |
| Predicate | hasPartInUnderlyingWork |
P95131
|
FINISHED |
| Object | theoretical analysis of emotions |
—
|
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: theoretical analysis of emotions | Statement: [The Intelligence of Emotions, hasPartInUnderlyingWork, theoretical analysis of emotions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInUnderlyingWork Context triple: [The Intelligence of Emotions, hasPartInUnderlyingWork, theoretical analysis of emotions]
-
A.
hasParentWork
Indicates that one work is derived from, contained within, or otherwise subordinate to another, more primary work.
-
B.
hasWorkPart
chosen
Indicates that one work is a component, section, or constituent part of another, larger work.
-
C.
hasWorkUsedBy
Indicates that a work (such as a resource, document, or artifact) is utilized or referenced by another entity in performing its activities or functions.
-
D.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
E.
hasPartnerInWork
Indicates that one entity collaborates professionally or is partnered with another entity in a work-related context.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe10ffc81908c94168b0a8ea9c9 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:31 p.m.