Triple
T38473021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The New Perry Mason |
E915470
|
entity |
| Predicate | roleOfPerryMasonPlayedBy |
P193173
|
FINISHED |
| Object | Monte Markham |
—
|
NE NERFINISHED |
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: Monte Markham | Statement: [The New Perry Mason, roleOfPerryMasonPlayedBy, Monte Markham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfPerryMasonPlayedBy Context triple: [The New Perry Mason, roleOfPerryMasonPlayedBy, Monte Markham]
-
A.
portrayedDetective
Indicates that one entity has played or depicted a detective character in a performance or work.
-
B.
characterPlayedByDanDuryea
Indicates that the referenced character is portrayed or played by the actor Dan Duryea.
-
C.
leadActorForCharacter_CharlesDexterWard
Indicates that a person is the lead actor portraying the character Charles Dexter Ward in a given production.
-
D.
accusedCharacterPortrayedBy
Indicates that a particular actor or performer plays the role of the character who is accused within a given work.
-
E.
Vance Law
Indicates a relationship or action involving the person named Vance Law, such as participation in an event, authorship, or association with another entity.
- F. None of above. chosen
Provenance (4 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_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
| PDg | Predicate description generation | batch_69fd389b653c81908a97ab2eff98c6ea |
completed | May 8, 2026, 1:12 a.m. |
Created at: May 3, 2026, 4:31 p.m.