Triple
T8737928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Christmas |
E207431
|
entity |
| Predicate | isTelevisionFilmAdaptationOf |
P77423
|
FINISHED |
| Object | Truman Capote short story |
—
|
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: Truman Capote short story | Statement: [One Christmas, isTelevisionFilmAdaptationOf, Truman Capote short story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTelevisionFilmAdaptationOf Context triple: [One Christmas, isTelevisionFilmAdaptationOf, Truman Capote short story]
-
A.
televisionFilmAdaptation
chosen
Indicates that a television film is an adaptation of another work, such as a book, play, or earlier production.
-
B.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
-
C.
notableAdaptationType
Indicates that one work is a significant adaptation of another work in a specific way or medium (e.g., film adaptation, stage adaptation).
-
D.
laterAdaptedIn
Indicates that something was subsequently adapted, modified, or reworked in a later context, version, or medium.
-
E.
laterAdaptedFor
Indicates that something was subsequently modified or repurposed to serve a new use, context, or medium.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d470c8c81909ead395ef704c6ba |
completed | March 31, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69cc457322b481908712a9630a17b954 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:38 p.m.