Triple
T32646599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellowbeard |
E834611
|
entity |
| Predicate | featuresComedyGroup |
P48234
|
FINISHED |
| Object | Monty Python members |
—
|
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: Monty Python members | Statement: [Yellowbeard, featuresComedyGroup, Monty Python members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresComedyGroup Context triple: [Yellowbeard, featuresComedyGroup, Monty Python members]
-
A.
featuresTroupe
chosen
Indicates that something includes or presents a particular troupe as part of its content or composition.
-
B.
featuresCast
Indicates that a creative work includes a particular person or group as part of its cast.
-
C.
featuresSlapstick
Indicates that the subject includes or prominently uses slapstick-style physical comedy in its content or presentation.
-
D.
genreOfComedy
Indicates that something belongs to or is categorized within the comedy genre.
-
E.
hasComedyElements
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a011ee3507081908b42de4278ae0b83 |
completed | May 11, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_6a011e874420819091cac3f08e8aa3f9 |
completed | May 11, 2026, 12:10 a.m. |
Created at: May 1, 2026, 1:07 a.m.