Triple
T8274210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prospector Pete |
E193500
|
entity |
| Predicate | statueRemovedBy |
P82441
|
FINISHED |
| Object | California State University, Long Beach administration |
—
|
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: California State University, Long Beach administration | Statement: [Prospector Pete, statueRemovedBy, California State University, Long Beach administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statueRemovedBy Context triple: [Prospector Pete, statueRemovedBy, California State University, Long Beach administration]
-
A.
equestrianStatueRemovalDate
Indicates the date on which an equestrian statue was removed from its location or deinstalled.
-
B.
statueName
Indicates that a statue has a specific name or title associated with it.
-
C.
statuePolicy
Indicates a policy or set of rules governing the creation, placement, maintenance, or treatment of statues.
-
D.
hasStatue
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
E.
statuesBy
Indicates that one entity is the creator, sculptor, or originator of statues depicting or associated with 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798bc29c8190927ef4b0662d6b98 |
completed | March 31, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:51 p.m.