Triple
T21652648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banacek |
E534375
|
entity |
| Predicate | leadCharacterDrives |
P82223
|
FINISHED |
| Object | limousine |
—
|
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: limousine | Statement: [Banacek, leadCharacterDrives, limousine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadCharacterDrives Context triple: [Banacek, leadCharacterDrives, limousine]
-
A.
ledByCharacter
Indicates that an event, group, or activity is directed or guided by a specific character.
-
B.
leadCharacterActivity
Indicates that an activity is performed by, associated with, or characteristic of the lead character in a narrative or work.
-
C.
drivingCharacter
chosen
Indicates that one character is operating or controlling a vehicle or mode of transportation.
-
D.
leadCharacterStatus
Indicates the role or condition of an entity when it serves as the primary or central character in a narrative or context.
-
E.
protagonistCharacteristic
Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef591594a08190bf0ddd0a0c0922ba |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.