Triple
T36269510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inc. Magazine Entrepreneur of the Year (1989) |
E892629
|
entity |
| Predicate | dateInferredFromName |
P185074
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [Inc. Magazine Entrepreneur of the Year (1989), dateInferredFromName, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateInferredFromName Context triple: [Inc. Magazine Entrepreneur of the Year (1989), dateInferredFromName, 1989]
-
A.
dateNamed
Indicates that one entity is a specific calendar date assigned as the name or designation of another entity (such as an event, record, or occurrence).
-
B.
dateDetermination
Indicates the process or criteria by which a specific date is identified, calculated, or assigned in relation to an event or condition.
-
C.
dateOf
Indicates that one entity specifies the calendar date associated with another entity, such as when it occurred, was created, or is scheduled.
-
D.
dateApproximate
Indicates that the associated date is not exact but estimated or approximate rather than precisely known.
-
E.
dateNotation
Indicates how a date is written or formatted in notation (e.g., order and style of day, month, and year).
- 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.