Triple
T16587368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Priestley |
E402992
|
entity |
| Predicate | startTimeOfRole_BrandonWalsh |
P34618
|
FINISHED |
| Object | 1990 |
—
|
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: 1990 | Statement: [Jason Priestley, startTimeOfRole_BrandonWalsh, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfRole_BrandonWalsh Context triple: [Jason Priestley, startTimeOfRole_BrandonWalsh, 1990]
-
A.
startTimeOfNotableRole
chosen
Indicates the point in time when an entity began a notable role, position, or function.
-
B.
startTimeOfPartnerJoshuaJackson
Indicates the time at which Joshua Jackson’s partner begins an associated event, activity, or state.
-
C.
startTimeOfPartnerNormanReedus
Indicates the time at which Norman Reedus, as a partner or participant, begins the relevant activity or engagement.
-
D.
apprenticeRolePlayedBy
Indicates that an apprentice role is portrayed or performed by a specific person or actor.
-
E.
startTimeAsCaptain
Indicates the point in time when an entity first assumes the role or position of captain.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599daa508190a9ed6f64138c0e53 |
completed | April 18, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.