Triple
T35831015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LA Models |
E1035796
|
entity |
| Predicate | representedFormerly |
P104156
|
FINISHED |
| Object | Travis Fimmel |
—
|
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: Travis Fimmel | Statement: [LA Models, representedFormerly, Travis Fimmel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedFormerly Context triple: [LA Models, representedFormerly, Travis Fimmel]
-
A.
formerName
Indicates that an entity was previously known by a different name in the past.
-
B.
representedUntil
Indicates that an entity served as a representation or proxy for another entity up to a specific point in time, after which it no longer did.
-
C.
heldAtFormerName
Indicates that an event or activity took place at a location when it was known by a previous or former name.
-
D.
representedFrom
Indicates that one entity serves as a representation or depiction of another entity.
-
E.
onceRepresentedBy
chosen
Indicates that an entity previously had another entity serving as its representative, but that representation is no longer current.
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff5f5ecc808190b2df364da108ff4c |
completed | May 9, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ff5b84131c8190bf81d7fb53e934bc |
completed | May 9, 2026, 4:06 p.m. |
Created at: May 3, 2026, 4:06 p.m.