Triple
T21513699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French organizational sociology school |
E530789
|
entity |
| Predicate | hasTheoreticalRootIn |
P34787
|
FINISHED |
| Object | interactionist sociology |
—
|
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: interactionist sociology | Statement: [French organizational sociology school, hasTheoreticalRootIn, interactionist sociology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTheoreticalRootIn Context triple: [French organizational sociology school, hasTheoreticalRootIn, interactionist sociology]
-
A.
isRootOf
Indicates that one entity is the root or origin point from which another entity directly or indirectly descends or is derived.
-
B.
hasAncestralRoots
chosen
Indicates that one entity originates from, descends from, or is historically rooted in another entity or place.
-
C.
hasRootWord
Indicates that one linguistic form is derived from, based on, or directly associated with a specified root word.
-
D.
hasTheoreticalStatus
Indicates that something possesses a particular theoretical standing, classification, or role within a conceptual or theoretical framework.
-
E.
hasTheory
Indicates that an entity possesses, is associated with, or is characterized by a particular theory.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea88e6fc8190a4b73b8d32dae5a8 |
completed | April 23, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:25 p.m.