Triple
T1010944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwight Fairfield |
E21820
|
entity |
| Predicate | perkType |
P23572
|
FINISHED |
| Object | teachable perk |
—
|
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: teachable perk | Statement: [Dwight Fairfield, perkType, teachable perk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perkType Context triple: [Dwight Fairfield, perkType, teachable perk]
-
A.
typeOfPowerGranted
Indicates the specific kind or category of power or authority that is conferred from one entity to another.
-
B.
notablePower
Indicates that an entity possesses a significant or distinguished form of power, influence, or capability that is recognized as noteworthy.
-
C.
permitType
Indicates the specific category or kind of permit associated with an entity or activity.
-
D.
spurType
Indicates the specific kind or category of spur associated with or used by an entity.
-
E.
primaryEffect
Indicates the main direct outcome or consequence that results from a given cause, action, or condition.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b7203124819091de68cba5f731c1 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7f2d1b081908eb2df54e91c8c1d |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:41 p.m.