Triple
T28690571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Rogoff |
E729269
|
entity |
| Predicate | conceptCoinedOrDeveloped |
P118
|
FINISHED |
| Object | guided participation |
—
|
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: guided participation | Statement: [Barbara Rogoff, conceptCoinedOrDeveloped, guided participation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conceptCoinedOrDeveloped Context triple: [Barbara Rogoff, conceptCoinedOrDeveloped, guided participation]
-
A.
conceptCoinedFromName
Indicates that a concept was created or derived from a specific person's name.
-
B.
coinedTerm
chosen
Indicates that an entity originated and introduced a particular term or expression into use.
-
C.
ideologyCoined
Indicates that one entity originated, formulated, or first introduced a particular ideology.
-
D.
languageOfCoinedTerm
Indicates the language in which a particular term was originally coined or first formulated.
-
E.
firstDeveloped
Indicates that one entity was the earliest to create, originate, or bring another entity into existence.
- 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_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 28, 2026, 5:35 a.m.