Triple
T35614377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Randall as Peter 'Pete' Ramsey |
E1029124
|
entity |
| Predicate | appearsInFilmEra |
P26306
|
FINISHED |
| Object | 1960s Hollywood romantic comedies |
—
|
LITERAL 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: 1960s Hollywood romantic comedies | Statement: [Tony Randall as Peter 'Pete' Ramsey, appearsInFilmEra, 1960s Hollywood romantic comedies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInFilmEra Context triple: [Tony Randall as Peter 'Pete' Ramsey, appearsInFilmEra, 1960s Hollywood romantic comedies]
-
A.
appearsInFranchiseEra
Indicates that an entity (such as a work, character, or element) is part of or occurs within a specific era or phase of a larger franchise.
-
B.
filmEra
chosen
Indicates the historical or stylistic period in which a film was produced or to which its cinematic style belongs.
-
C.
typicalEraOfFilmsShown
Indicates the historical time period during which the films being shown are most commonly produced or set.
-
D.
appearsInTimePeriodDepicted
Indicates that something is present or occurs within the specific time period that is depicted or represented.
-
E.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
- F. None of above.
Provenance (3 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
Created at: May 3, 2026, 4:05 p.m.