Triple
T21945823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Thompson as Gareth Peirce |
E541929
|
entity |
| Predicate | portrayalYear |
P54917
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Emma Thompson as Gareth Peirce, portrayalYear, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalYear Context triple: [Emma Thompson as Gareth Peirce, portrayalYear, 1993]
-
A.
portrayalEndYear
Indicates the year in which a particular portrayal of an entity (such as a role, character, or representation) concluded.
-
B.
portrayalDurationYears
Indicates the number of years an entity has continuously portrayed or represented another entity or role.
-
C.
earlierPortrayalReleaseYear
Indicates that the release year of one portrayal occurred before the release year of another portrayal.
-
D.
releaseYearOfDepiction
Indicates the year in which the depicted event, scene, or representation was released or first made publicly available.
-
E.
yearDepicted
chosen
Indicates the specific year in which the subject is portrayed, represented, or set.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12427c2b48190949c41bd3be2d9f3 |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:57 p.m.