Triple
T7501929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEO of Intel |
E177280
|
entity |
| Predicate | canAlsoHoldPosition |
P77881
|
FINISHED |
| Object | Chairman of Intel |
—
|
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: Chairman of Intel | Statement: [CEO of Intel, canAlsoHoldPosition, Chairman of Intel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canAlsoHoldPosition Context triple: [CEO of Intel, canAlsoHoldPosition, Chairman of Intel]
-
A.
positionHeld
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
B.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
-
C.
canBeHeldWith
Indicates that two entities are compatible or suitable to be held or used together at the same time.
-
D.
canHold
Indicates that one entity has the capacity or ability to contain, support, or carry another entity.
-
E.
canBeHeldByActiveDutyOfficer
Indicates that the specified role, position, or responsibility is eligible to be occupied or performed by an officer who is currently serving on active duty.
- F. None of above. chosen
Provenance (4 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:44 p.m.