Triple
T1511003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rena Lalgie |
E32011
|
entity |
| Predicate | isFirstHolderOfType |
P29917
|
FINISHED |
| Object | first Black woman Governor of Bermuda |
—
|
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 woman Governor of Bermuda | Statement: [Rena Lalgie, isFirstHolderOfType, first Black woman Governor of Bermuda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstHolderOfType Context triple: [Rena Lalgie, isFirstHolderOfType, first Black woman Governor of Bermuda]
-
A.
hasFirstHolder
Indicates that an entity is associated with the earliest or original holder (e.g., owner, position-bearer, or title-holder) of something.
-
B.
hasPreviousHolder
Indicates that an entity was formerly held, occupied, or possessed by another specified entity before the current one.
-
C.
previousInstanceOf
Indicates that one entity is an earlier occurrence or version of another entity in a sequence or history.
-
D.
hasCollectionType
Indicates that an entity is associated with or organized under a specific type or category of collection.
-
E.
firstOf
Indicates that one entity is the earliest or initial member in an ordered sequence or collection relative to the others.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9396e16408190b5e7b0ac43376d81 |
completed | March 5, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69a907aa67cc81909f00135365447399 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a9396d3e1081909aa269b42041c357 |
completed | March 5, 2026, 8:06 a.m. |
Created at: March 4, 2026, 7:26 p.m.