Triple
T17863456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shazad Latif as Ash Tyler |
E446129
|
entity |
| Predicate | portrayalDebutApproxYear |
P7549
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Shazad Latif as Ash Tyler, portrayalDebutApproxYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalDebutApproxYear Context triple: [Shazad Latif as Ash Tyler, portrayalDebutApproxYear, 2017]
-
A.
portrayalEndYear
Indicates the year in which a particular portrayal of an entity (such as a role, character, or representation) concluded.
-
B.
firstStagePortrayalBy
Indicates that an entity’s initial or earliest stage is depicted or represented by another entity.
-
C.
debutYear
chosen
Indicates the year in which an entity first appeared, was introduced, or made its initial public debut.
-
D.
madeProfessionalDebutIn
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
-
E.
debutedWith
Indicates that an entity made its first public appearance, release, or introduction in association with another specified 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e49791b0c08190b04a426bd274065d |
completed | April 19, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:17 a.m.