Triple
T9868609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Wood, 1st Earl of Halifax |
E239896
|
entity |
| Predicate | termAsMPEnd |
P90965
|
FINISHED |
| Object | 1925 |
—
|
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: 1925 | Statement: [Edward Wood, 1st Earl of Halifax, termAsMPEnd, 1925]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsMPEnd Context triple: [Edward Wood, 1st Earl of Halifax, termAsMPEnd, 1925]
-
A.
termEndOfLastHolder
Indicates that something marks the end point of the term or tenure of the most recent previous holder of a role, position, or asset.
-
B.
endOf
Indicates that one entity marks the terminating point or final boundary of another entity, event, or interval.
-
C.
secondTermEnd
Indicates that the referenced time or event marks the conclusion of the second term in a sequence of terms.
-
D.
terminus
Indicates that one entity serves as the final endpoint or stopping place for another entity’s movement, route, or process.
-
E.
endOfTermContext
Indicates the situational or temporal context associated with the conclusion of a defined term, period, or contractual duration.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d34e4c81908c0fc14dd6d015cc |
completed | April 2, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:36 p.m.