Triple
T34001059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Prat |
E871818
|
entity |
| Predicate | representativeYears |
P109160
|
FINISHED |
| Object | 1945–1955 |
—
|
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: 1945–1955 | Statement: [Jean Prat, representativeYears, 1945–1955]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representativeYears Context triple: [Jean Prat, representativeYears, 1945–1955]
-
A.
productionYears
Indicates the span of calendar years during which something was produced or manufactured.
-
B.
nationalYears
chosen
Indicates the span of years during which an entity was active or affiliated at the national level (e.g., on a national team or in a national role).
-
C.
typicalBirthYearsRange
Indicates the usual span of calendar years during which an entity (such as a person or group) is most commonly born.
-
D.
endYearApprox
Indicates that the end year of an event, state, or relationship is known only approximately rather than as a precise calendar year.
-
E.
yearDescribedAs
Indicates the specific year in which something was formally characterized, documented, or described.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: May 1, 2026, 1:50 a.m.