Triple
T32829840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Hughes |
E839655
|
entity |
| Predicate | prominentYears |
P24496
|
FINISHED |
| Object | late 1990s |
—
|
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: late 1990s | Statement: [Matt Hughes, prominentYears, late 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prominentYears Context triple: [Matt Hughes, prominentYears, late 1990s]
-
A.
notablePopularityPeriod
Indicates the time span during which something was especially popular or widely recognized.
-
B.
notableProductionYear
Indicates the year in which an entity produced something considered notable or significant.
-
C.
madeFamousInYear
Indicates that an entity became widely known or gained significant fame in a specified year.
-
D.
notableWorkYear
Indicates the year in which a notable work associated with an entity was created, released, or achieved prominence.
-
E.
wasProminentIn
chosen
Indicates that an entity was notably active, influential, or widely recognized within a particular field, context, or time period.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:16 a.m.