Triple
T2654841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Wilson |
E53983
|
entity |
| Predicate | firstTermStart |
P41993
|
FINISHED |
| Object | 1964-10-16 |
—
|
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: 1964-10-16 | Statement: [Harold Wilson, firstTermStart, 1964-10-16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTermStart Context triple: [Harold Wilson, firstTermStart, 1964-10-16]
-
A.
secondTermStartYear
Indicates the calendar year in which an entity’s second term in a role, office, or position begins.
-
B.
firstPlanStartYear
Indicates the calendar year in which an entity’s initial plan or planning period begins.
-
C.
firstGenerationStart
Indicates the point in time or event at which the first generation in a sequence, lineage, or series begins.
-
D.
firstQuarter
Indicates that an event, state, or condition occurs during the first quarter of a defined time period (such as a year or fiscal year).
-
E.
hasFirstTerm
Indicates that an entity is associated with a specific first term in an ordered sequence, period, or series.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd815d06481909535c02b0aba8553 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abda0a13308190a986df86270258a7 |
completed | March 7, 2026, 7:55 a.m. |
Created at: March 6, 2026, 9:53 p.m.