Triple
T5037100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stormin’ Norman |
E113451
|
entity |
| Predicate | referentServiceYears |
P14042
|
FINISHED |
| Object | 1956–1991 |
—
|
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: 1956–1991 | Statement: [Stormin’ Norman, referentServiceYears, 1956–1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referentServiceYears Context triple: [Stormin’ Norman, referentServiceYears, 1956–1991]
-
A.
quotaYearReference
Indicates the specific year to which a given quota or quota-related data is applied or referenced.
-
B.
serviceYears
chosen
Indicates the number of years an entity has provided service or been in a particular role, position, or organization.
-
C.
effectiveYear
Indicates the calendar year in which something (such as a rule, status, or agreement) becomes valid or takes effect.
-
D.
yearsOfMilitaryService
Indicates the number of years an entity has served or is recorded as serving in the military.
-
E.
teamTenure
Indicates the duration or length of time an entity has been part of a particular team.
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73bb069c8190af86f1b2f95f3d95 |
completed | March 20, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.