Triple
T22541083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Bane |
E557289
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Phil Ford |
—
|
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: Phil Ford | Statement: [the Bane, createdBy, Phil Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Ford Context triple: [the Bane, createdBy, Phil Ford]
-
A.
Phil Ford
chosen
Phil Ford is a British television writer and producer best known for his work on Doctor Who and its spin-off series The Sarah Jane Adventures.
-
B.
Dean Ford
Dean Ford was a Scottish singer and songwriter best known as the lead vocalist of the pop group The Marmalade.
-
C.
Danny Ford
Danny Ford is an American football coach best known for leading the Clemson Tigers to the 1981 national championship and becoming one of the program’s most successful head coaches.
-
D.
Thomas Ford
Thomas Ford was an American politician who served as the eighth governor of Illinois from 1842 to 1846.
-
E.
Benson Ford
Benson Ford was an American businessman and prominent member of the Ford family who held executive roles at Ford Motor Company in the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3251808190a72b849157854d8d |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.