Triple
T21527148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pravin Amre |
E531124
|
entity |
| Predicate | firstClassFifties |
P144717
|
FINISHED |
| Object | 37 |
—
|
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: 37 | Statement: [Pravin Amre, firstClassFifties, 37]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstClassFifties Context triple: [Pravin Amre, firstClassFifties, 37]
-
A.
testFifties
Indicates that an entity is associated with, belongs to, or is being evaluated in the context of the 1950s time period.
-
B.
firstVintage
Indicates the earliest or initial vintage associated with an entity, marking the first year or edition in which it was produced or released.
-
C.
firstPresentedDecade
Indicates the decade during which something was first presented or introduced.
-
D.
consideredClassic
Indicates that something is widely regarded or recognized as a classic within a particular field, genre, or context.
-
E.
fifthGeneration
Indicates that one entity belongs to the fifth generation in a lineage, sequence, or series relative to another entity.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee88522e948190b9fa5a3587f32eae |
completed | April 26, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:26 p.m.