Triple
T17799581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gib |
E444384
|
entity |
| Predicate | isTechSavvy |
P26759
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Gib, isTechSavvy, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTechSavvy Context triple: [Gib, isTechSavvy, true]
-
A.
hasTechSavvyCharacter
Indicates that an entity includes or is associated with a character who is notably skilled or proficient with technology.
-
B.
isTechnical
chosen
Indicates that an entity possesses specialized technical knowledge, skills, or characteristics related to technology, engineering, or applied sciences.
-
C.
isMoreTechnicalThan
Indicates that one entity possesses a higher level of technical complexity, expertise, or specialization than another entity.
-
D.
isLessTechnicalThan
Indicates that one entity possesses a lower level of technical complexity, expertise, or detail compared to another entity.
-
E.
usesSoftware
Indicates that one entity employs or operates a particular software application or system to perform tasks or functions.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fe19dc8190b7e9dc96f39e0861 |
completed | April 19, 2026, 7:45 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:13 a.m.