Triple
T25014432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Wyman |
E626086
|
entity |
| Predicate | precededBy (Connecticut Comptroller) |
P159406
|
FINISHED |
| Object | Edward Caldwell |
—
|
NE NERFINISHED |
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: Edward Caldwell | Statement: [Nancy Wyman, precededBy (Connecticut Comptroller), Edward Caldwell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededBy (Connecticut Comptroller) Context triple: [Nancy Wyman, precededBy (Connecticut Comptroller), Edward Caldwell]
-
A.
precededBy (Governor of New York)
Indicates that one entity held the position of Governor of New York before another entity.
-
B.
precededBy (Governor of Vermont)
Indicates that one holder of the office of Governor of Vermont served in that position before another specified holder.
-
C.
precededBy (Governor of Maine)
Indicates that one entity held the position of Governor of Maine before another entity.
-
D.
precededBy (Governor of California)
Indicates that one entity held the position of Governor of California before another entity in temporal order.
-
E.
precededBy (Mayor of New York City)
Indicates that one mayor of New York City held office before another mayor of New York City in chronological order.
- 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f584f07b648190aee894c1d5320bc3 |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 18, 2026, 6:06 a.m.