Triple
T38473023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The New Perry Mason |
E915470
|
entity |
| Predicate | roleOfDellaStreetPlayedBy |
P193234
|
FINISHED |
| Object | Sharon Acker |
E1807080
|
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: Sharon Acker | Statement: [The New Perry Mason, roleOfDellaStreetPlayedBy, Sharon Acker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfDellaStreetPlayedBy Context triple: [The New Perry Mason, roleOfDellaStreetPlayedBy, Sharon Acker]
-
A.
MaryAstorRole
Indicates that an entity represents a role or character portrayed by Mary Astor in a film, play, or other performance.
-
B.
characterPlayedByKathleenQuinlan
Indicates that a given character is portrayed or acted by Kathleen Quinlan.
-
C.
roleOfPerryMasonPlayedBy
Indicates that a specified role of the character Perry Mason is portrayed by a particular actor.
-
D.
characterPlayedByClaudetteColbert
Indicates that a given character is portrayed or acted by Claudette Colbert.
-
E.
barbaraStanwyckRole
Indicates that the subject is a role or character portrayed by Barbara Stanwyck.
- 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_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41d6498f9481909895f9639e32ea76 |
completed | June 29, 2026, 2:19 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
| PDg | Predicate description generation | batch_69fd3a6905b88190ae12b43576f4cc63 |
completed | May 8, 2026, 1:20 a.m. |
Created at: May 3, 2026, 4:31 p.m.