Triple
T22541096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Bane |
E557289
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Clyde Langer |
—
|
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: Clyde Langer | Statement: [the Bane, enemyOf, Clyde Langer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clyde Langer Context triple: [the Bane, enemyOf, Clyde Langer]
-
A.
Clyde Langer
chosen
Clyde Langer is a main companion and teenage protagonist in the Doctor Who spin-off series "The Sarah Jane Adventures," known for his humor, bravery, and loyalty to Sarah Jane Smith.
-
B.
Jim Langer
Jim Langer was an American Pro Football Hall of Fame center best known as a key offensive lineman for the dominant Miami Dolphins teams of the early 1970s.
-
C.
Clive Gregory
Clive Gregory is an Anglican bishop who has served as the Bishop of Stafford in the Church of England.
-
D.
Clyde Griffiths
Clyde Griffiths is the ambitious yet morally conflicted protagonist of Theodore Dreiser’s novel "An American Tragedy," whose pursuit of social ascent leads to crime and downfall.
-
E.
Ben Langmaid
Ben Langmaid is a British songwriter and producer best known as a former member and co-writer of the electronic music duo La Roux.
- 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.