Triple
T32277541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas L. Roberts |
E824594
|
entity |
| Predicate | dateParticipated |
P96386
|
FINISHED |
| Object | 1862 |
—
|
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: 1862 | Statement: [Thomas L. Roberts, dateParticipated, 1862]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateParticipated Context triple: [Thomas L. Roberts, dateParticipated, 1862]
-
A.
yearOfEventParticipation
chosen
Indicates the specific calendar year in which an entity participated in a particular event.
-
B.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
-
C.
seasonParticipatedIn
Indicates that an entity took part in or was active during a specific season of a recurring event, series, or competition.
-
D.
teamParticipatedIn
Indicates that a team took part in or was involved in a particular event, activity, or competition.
-
E.
historicalEventParticipation
Indicates that an entity took part in, contributed to, or was involved in a specific historical event.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bcc5e6608190afd4e2b9e6774f5e |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:43 a.m.