Triple
T3229506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Paterson |
E67703
|
entity |
| Predicate | isFirstInCategory |
P46310
|
FINISHED |
| Object | first Black governor of New York |
—
|
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: first Black governor of New York | Statement: [David Paterson, isFirstInCategory, first Black governor of New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstInCategory Context triple: [David Paterson, isFirstInCategory, first Black governor of New York]
-
A.
wasFirst
Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
-
B.
isDebutSingleOf
Indicates that a musical single is the first official release by a particular artist or group.
-
C.
isOneOfMajorCategories
Indicates that an entity belongs to a specified set of primary or top-level categories within a classification.
-
D.
isOldestOrderOf
Indicates that one order is the earliest or first created among a set of related orders for a given context or entity.
-
E.
introducedCategory
Indicates that an entity is responsible for bringing a particular category into use, recognition, or existence within a given context.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb826588190a93bcfb1242310e7 |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0dc2248190a38c40f4e06cd41c |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:08 p.m.