Triple
T20392353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlene Martel as T'Pring |
E498113
|
entity |
| Predicate | episodeDirector |
P139956
|
FINISHED |
| Object | Joseph Pevney |
E555460
|
NE 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: Joseph Pevney | Statement: [Arlene Martel as T'Pring, episodeDirector, Joseph Pevney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: episodeDirector Context triple: [Arlene Martel as T'Pring, episodeDirector, Joseph Pevney]
-
A.
filmSeriesDirector
Indicates that a person is the director responsible for one or more films within a particular film series.
-
B.
directorSince
Indicates that one entity has held the role of director for another entity starting from a specified point in time.
-
C.
directors
Indicates that one entity serves as a director (or is on the board) of another entity, such as an organization or company.
-
D.
animeDirector
Indicates that one entity is the director of an anime work associated with the other entity.
-
E.
castingDirectorOf
Indicates that a person serves as the casting director responsible for selecting the cast of a particular production or project.
- F. None of above. chosen
Provenance (5 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e679108b1481909677cf80e8e77e76 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a105ca8a5248190a6f30bfab3aaec80 |
completed | May 22, 2026, 1:39 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:28 a.m.