Triple
T23827915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Catero |
E589429
|
entity |
| Predicate | knownForPeriod |
P97182
|
FINISHED |
| Object | 1960s and 1970s |
—
|
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: 1960s and 1970s | Statement: [Fred Catero, knownForPeriod, 1960s and 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownForPeriod Context triple: [Fred Catero, knownForPeriod, 1960s and 1970s]
-
A.
knownSince
Indicates the point in time from which one entity has been aware of, acquainted with, or in possession of knowledge about another entity.
-
B.
appearsInTimePeriod
chosen
Indicates that an entity is present, active, or occurs within a specified time period.
-
C.
establishedPeriod
Indicates the time span or date range during which something was founded, created, or formally brought into existence.
-
D.
notablePeriodOfInterest
Indicates a time span that is particularly significant or noteworthy in relation to the subject.
-
E.
refersToPeriod
Indicates that one entity designates, references, or is associated with a specific time period or interval.
- 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_69e25d1922d481909cab567c06a802ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7f304f08190bd965df06f013b3f |
completed | April 29, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8 p.m.