Triple
T25001048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Osborne |
E625719
|
entity |
| Predicate | startTimeOfEmployment |
P125493
|
FINISHED |
| Object | 1994 (Turner Classic Movies) |
—
|
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: 1994 (Turner Classic Movies) | Statement: [Robert Osborne, startTimeOfEmployment, 1994 (Turner Classic Movies)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfEmployment Context triple: [Robert Osborne, startTimeOfEmployment, 1994 (Turner Classic Movies)]
-
A.
earliestOccupationDate
Indicates the earliest known date on which an entity began a particular occupation or role.
-
B.
employedAtTime
chosen
Indicates that an employment relationship holds during a specified time or time interval.
-
C.
startTimeOfProfessionalCareer
Indicates the point in time when an individual’s professional career formally begins.
-
D.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
E.
contractStartYear
Indicates the calendar year in which a contract between parties officially begins.
- 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_69e2ff26c50481908bc82e799c9e6587 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 6:04 a.m.