Triple
T31005264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Think Like a Freak |
E790047
|
entity |
| Predicate | hasCoAuthorProfession |
P162199
|
FINISHED |
| Object | economist |
—
|
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: economist | Statement: [Think Like a Freak, hasCoAuthorProfession, economist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoAuthorProfession Context triple: [Think Like a Freak, hasCoAuthorProfession, economist]
-
A.
hasCoauthor
Indicates that two or more entities have jointly authored the same work or publication.
-
B.
coAuthorOccupation
chosen
Indicates that two or more co-authors share the same or closely related professional occupation.
-
C.
hasCoOwnerProfession
Indicates that two or more co-owners share a specified profession or occupational role in relation to the same owned entity.
-
D.
hasCoauthorBackground
Indicates that two or more coauthors share a specified background, such as educational, professional, cultural, or experiential context.
-
E.
coAuthorshipType
Indicates the specific nature or category of the collaborative authorship relationship between two or more contributors.
- 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a01bb06422c819095bb42f6f3a0e801 |
completed | May 11, 2026, 11:18 a.m. |
| PD | Predicate disambiguation | batch_6a01b9991c348190ac49b65ea2fd86ed |
completed | May 11, 2026, 11:12 a.m. |
Created at: April 29, 2026, 8:57 p.m.