Triple
T25899010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Some Mothers Do 'Ave 'Em |
E652549
|
entity |
| Predicate | leadActorPerformedOwnStunts |
P160301
|
FINISHED |
| Object | Michael Crawford |
—
|
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: Michael Crawford | Statement: [Some Mothers Do 'Ave 'Em, leadActorPerformedOwnStunts, Michael Crawford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorPerformedOwnStunts Context triple: [Some Mothers Do 'Ave 'Em, leadActorPerformedOwnStunts, Michael Crawford]
-
A.
hasStuntDouble
Indicates that one entity serves as a stunt double who performs dangerous or physically demanding actions on behalf of another entity.
-
B.
hasStunts
Indicates that one entity performs, includes, or is associated with stunt actions for another entity or context.
-
C.
heroPerformsFor
Indicates that a hero carries out an action or performance for the benefit, entertainment, or service of another entity.
-
D.
hasPublicityStunt
Indicates that an entity engages in or is associated with a planned publicity stunt intended to attract public attention.
-
E.
leadActorPlaysVersionOfSelf
Indicates that the lead actor in a work portrays a character that is a version or representation of themselves.
- 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_69e7ab3c6cc081908de59bfcc28ec19d |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6038777008190ae54d57d622824f9 |
completed | May 2, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 22, 2026, 8:23 a.m.