Triple
T35907533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Williams Plaza |
E1038511
|
entity |
| Predicate | namedAfterOccupationOfHonouree |
P117536
|
FINISHED |
| Object | historian |
—
|
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: historian | Statement: [Eric Williams Plaza, namedAfterOccupationOfHonouree, historian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedAfterOccupationOfHonouree Context triple: [Eric Williams Plaza, namedAfterOccupationOfHonouree, historian]
-
A.
namedAfterOccupationOrRole
chosen
Indicates that an entity is named after a specific occupation, profession, or social role associated with a person or group.
-
B.
namedAfterOfficeholder
Indicates that one entity is named in honor of, or derived from the name of, a person who has held a particular public or official office.
-
C.
namedAfterAwardLaureateOf
Indicates that one entity is named after a person who is a laureate (recipient) of a particular award.
-
D.
namedAwardAfter
Indicates that an award has been given a name in honor of or derived from a particular person, group, or entity.
-
E.
namedInHonorBy
Indicates that one entity has been used as the namesake or dedicatee by another entity, signifying that the latter is named in honor of the former.
- F. None of above.
Provenance (3 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 4:07 p.m.