Triple
T8155229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David (Prime Minister) |
E190429
|
entity |
| Predicate | fullNameInCredits |
P80856
|
FINISHED |
| Object | The Prime Minister |
—
|
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: The Prime Minister | Statement: [David (Prime Minister), fullNameInCredits, The Prime Minister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullNameInCredits Context triple: [David (Prime Minister), fullNameInCredits, The Prime Minister]
-
A.
fullNameInFilmCredits
Indicates that a person’s complete legal or professional name is used in the official credits of a film.
-
B.
creatorFullName
Indicates the full personal name of the entity that created or authored another entity.
-
C.
performerCreditedAs
Indicates that a performer is associated with a work under a specific credited name or alias.
-
D.
fullName
Indicates that an entity has a complete personal name, typically combining given name(s) and family name into a single string.
-
E.
performerFullName
Indicates the complete name of the entity that performs an action or role in the described context.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d725b88190b77dc7537c1fa95d |
completed | March 31, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39ba412881908a053e88f29a9588 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:37 p.m.