Triple
T25804443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Avery |
E649925
|
entity |
| Predicate | developsTrait |
P161668
|
FINISHED |
| Object | openness to others |
—
|
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: openness to others | Statement: [Tom Avery, developsTrait, openness to others]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developsTrait Context triple: [Tom Avery, developsTrait, openness to others]
-
A.
developsTrait
chosen
Indicates that an entity comes to acquire or manifest a particular trait over time.
-
B.
developedTrait
Indicates that an entity has acquired or evolved a particular characteristic, quality, or feature over time.
-
C.
developmentalTrait
Indicates that an entity possesses a characteristic or feature related to its growth, maturation, or developmental process.
-
D.
developsSkill
Indicates that one entity causes or contributes to the growth, improvement, or acquisition of a particular skill in another entity.
-
E.
programmingTrait
Indicates a characteristic, quality, or attribute specifically related to programming behavior, style, or capability associated with an entity.
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 22, 2026, 7:01 a.m.