Triple
T38473029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The New Perry Mason |
E915470
|
entity |
| Predicate | roleOfLieutenantArthurTraggPlayedBy |
P193400
|
FINISHED |
| Object | Dane Clark |
E418791
|
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: Dane Clark | Statement: [The New Perry Mason, roleOfLieutenantArthurTraggPlayedBy, Dane Clark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfLieutenantArthurTraggPlayedBy Context triple: [The New Perry Mason, roleOfLieutenantArthurTraggPlayedBy, Dane Clark]
-
A.
crewDepicted
Indicates that a particular crew or group of crew members is visually represented or shown in some form of media or depiction.
-
B.
roleOfLancelotPlayedBy
Indicates that a person is the actor who portrays the character Lancelot in a performance or production.
-
C.
characterPlayedByRichardHarris
Indicates that the subject is a character that was portrayed by the actor Richard Harris.
-
D.
leadActorForCharacter Lieutenant Bob Coleman
Indicates that Lieutenant Bob Coleman is the primary actor portraying a specific character in a production.
-
E.
characterPlayedByIainGlen
Indicates that the subject is a character portrayed or voiced by the actor Iain Glen.
- 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a421bd2a2388190a480061e49a7e9c0 |
completed | June 29, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69fd4445f8c08190bb2dc27e0971c55d |
completed | May 8, 2026, 2:02 a.m. |
Created at: May 3, 2026, 4:31 p.m.