Triple
T35208098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Time Becks |
E1016593
|
entity |
| Predicate | evolvedFromPersona |
P1245
|
FINISHED |
| Object | The Man |
—
|
NE NERFINISHED |
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: The Man | Statement: [Big Time Becks, evolvedFromPersona, The Man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evolvedFromPersona Context triple: [Big Time Becks, evolvedFromPersona, The Man]
-
A.
evolvedIn
Indicates that an entity originated or developed within a specified environment, context, or location over evolutionary time.
-
B.
evolvedUnder
Indicates that one entity developed or changed over time while being influenced or shaped by specific conditions, factors, or an environment represented by the other entity.
-
C.
developedFrom
chosen
Indicates that one entity originates, evolves, or is derived from another as its source or precursor.
-
D.
evolvedOver
Indicates that one entity has changed or developed into another entity across a span of time.
-
E.
evolvedWith
Indicates that two or more entities have undergone evolutionary change in mutual influence or parallel over time.
- 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.