Triple
T35290524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alistair Leslie Graham |
E1019209
|
entity |
| Predicate | fictionalNameOf |
P118062
|
FINISHED |
| Object | Ali G |
—
|
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: Ali G | Statement: [Alistair Leslie Graham, fictionalNameOf, Ali G]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalNameOf Context triple: [Alistair Leslie Graham, fictionalNameOf, Ali G]
-
A.
fictionalBirthName
Indicates the original personal name assigned to a fictional character at birth, as distinct from any later or alternate names they may use.
-
B.
fictionalPersonaOf
chosen
Indicates that one entity is a fictional or narrative persona, alter ego, or character representation of another (typically real or primary) entity.
-
C.
fictionalNameInSeries
Indicates that a fictional character is known by a particular name within a specific narrative series or franchise.
-
D.
fictionalFriendName
Indicates that one entity is the name assigned to an imaginary or fictional friend associated with another entity.
-
E.
fictionalSon
Indicates that one entity is portrayed as the son of another entity within a fictional or narrative context.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
Created at: May 3, 2026, 4:03 p.m.