Triple
T4920674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Hailwood |
E110455
|
entity |
| Predicate | activeYearsInIsleOfManTT |
P60040
|
FINISHED |
| Object | 1958–1967 |
—
|
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: 1958–1967 | Statement: [Mike Hailwood, activeYearsInIsleOfManTT, 1958–1967]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeYearsInIsleOfManTT Context triple: [Mike Hailwood, activeYearsInIsleOfManTT, 1958–1967]
-
A.
activeInYears
Indicates that an entity was active or operational during the specified years or year range.
-
B.
activeInYear
Indicates that an entity was active, functioning, or operational during a specified year.
-
C.
activeYearsInSport
Indicates the span of years during which an entity actively participated in a particular sport.
-
D.
historicallyActiveIn
Indicates that an entity was active or engaged in significant activities within a particular place or context during a past historical period.
-
E.
activeYearsEndTime
Indicates the point in time when an entity’s period of activity or operation comes to an end.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6e482984819087124216738f1e29 |
completed | March 20, 2026, 3:56 p.m. |
Created at: March 20, 2026, 1:30 p.m.