Triple
T36165996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christmas Holiday |
E1045998
|
entity |
| Predicate | leadCharacterPlayedByDeannaDurbin |
P184986
|
FINISHED |
| Object | Jackie Lamont |
—
|
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: Jackie Lamont | Statement: [Christmas Holiday, leadCharacterPlayedByDeannaDurbin, Jackie Lamont]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadCharacterPlayedByDeannaDurbin Context triple: [Christmas Holiday, leadCharacterPlayedByDeannaDurbin, Jackie Lamont]
-
A.
leadCharacterPlayedByJeanHarlow
Indicates that the work’s lead character is portrayed by the actress Jean Harlow.
-
B.
barbaraStanwyckRole
Indicates that the subject is a role or character portrayed by Barbara Stanwyck.
-
C.
leadActressCharacterName
Indicates the name of the character portrayed by the lead actress in a given work.
-
D.
characterPlayedByClaudetteColbert
Indicates that a given character is portrayed or acted by Claudette Colbert.
-
E.
JudyGarlandRole
Indicates that a person held an acting role performed by Judy Garland in a specific work.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.