Triple
T23103940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Fry |
E576106
|
entity |
| Predicate | typeOfAnalyst |
P150929
|
FINISHED |
| Object | macro analyst |
—
|
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: macro analyst | Statement: [Eric Fry, typeOfAnalyst, macro analyst]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAnalyst Context triple: [Eric Fry, typeOfAnalyst, macro analyst]
-
A.
analysisType
Indicates the specific kind or category of analysis being applied or performed in relation to an entity or dataset.
-
B.
hasNotableAnalyst
Indicates that an entity is associated with an analyst who is recognized as particularly important, influential, or noteworthy in relation to that entity.
-
C.
typeOfInvestor
Indicates the kind or category of investor that a given entity is classified as.
-
D.
hasResearcherType
Indicates that an entity is associated with a researcher characterized by a specific type or category of research role.
-
E.
typeOfEntrepreneur
Indicates the specific category or kind of entrepreneur that an entity is classified as.
- F. None of above. chosen
Provenance (4 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18deb702c819099f2e2141706f00e |
completed | April 29, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:58 p.m.