Triple
T18748878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajit Doval |
E458472
|
entity |
| Predicate | tenureAsDirectorIBStart |
P18957
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Ajit Doval, tenureAsDirectorIBStart, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenureAsDirectorIBStart Context triple: [Ajit Doval, tenureAsDirectorIBStart, 2004]
-
A.
startTime (CIA directorship)
Indicates the calendar date and/or time at which a specific tenure as CIA Director officially began.
-
B.
athleticDirectorTenureStart
Indicates the date or time when an individual begins serving as an athletic director for an organization or institution.
-
C.
tenureAsGeneralManagerStart
Indicates the date or time when an individual begins their tenure serving as a general manager.
-
D.
timeInOfficeBeginsIn
chosen
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
E.
thirdOfficeHolderStartDate
Indicates the date on which the third person to hold a particular office or position began their term.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579eb7350819099d7291207781116 |
completed | April 20, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.