Triple
T4158167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthropology (1923) |
E91465
|
entity |
| Predicate | partOfAuthorCareer |
P19243
|
FINISHED |
| Object | major work of Alfred L. Kroeber |
—
|
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: major work of Alfred L. Kroeber | Statement: [Anthropology (1923), partOfAuthorCareer, major work of Alfred L. Kroeber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfAuthorCareer Context triple: [Anthropology (1923), partOfAuthorCareer, major work of Alfred L. Kroeber]
-
A.
workInAuthorCareer
Indicates that an author’s professional work or role occurs within and is part of their overall writing career.
-
B.
partOfCareer
chosen
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
C.
partOfAuthorBibliography
Indicates that a work is included in the set of publications that make up an author's bibliography.
-
D.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
E.
describesCareerOf
Indicates that one entity provides a description or characterization of the professional career of another entity.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.