Triple
T28454719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mabel’s Married Life |
E716677
|
entity |
| Predicate | hasStarPersonaElement |
P61233
|
FINISHED |
| Object | developing Tramp character of Charlie Chaplin |
—
|
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: developing Tramp character of Charlie Chaplin | Statement: [Mabel’s Married Life, hasStarPersonaElement, developing Tramp character of Charlie Chaplin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStarPersonaElement Context triple: [Mabel’s Married Life, hasStarPersonaElement, developing Tramp character of Charlie Chaplin]
-
A.
hasStarOn
Indicates that one entity bears or displays a star symbol positioned on another entity.
-
B.
hasStandardStarRole
Indicates that an entity holds a primary or typical starring role in relation to another entity.
-
C.
hasStars
Indicates that an entity possesses or is associated with one or more stars.
-
D.
containsStarType
Indicates that one entity includes or is associated with a star of a specified stellar type.
-
E.
hasPersona
chosen
Indicates that an entity possesses or is associated with a particular persona, role, or character profile.
- 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_69efd6b76f8c8190a7ba908aca280942 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: April 28, 2026, 1:53 a.m.