Triple
T23765812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A New Way to Pay Old Debts |
E587372
|
entity |
| Predicate | characterRoleOfSirGilesOverreach |
P23263
|
FINISHED |
| Object | villain |
—
|
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: villain | Statement: [A New Way to Pay Old Debts, characterRoleOfSirGilesOverreach, villain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterRoleOfSirGilesOverreach Context triple: [A New Way to Pay Old Debts, characterRoleOfSirGilesOverreach, villain]
-
A.
roleInFalstaffArc
Indicates the specific function or contribution an entity has within the narrative or developmental arc associated with Falstaff.
-
B.
featuresCharacterRole
chosen
Indicates that a work includes a character appearing in a specific narrative or functional role.
-
C.
relationshipToFalstaff
Indicates the specific interpersonal or social connection that one entity has to Falstaff.
-
D.
roleInFamousPlay
Indicates that an entity portrays or has portrayed a specific character in a well-known theatrical play.
-
E.
relationshipToSirTobyBelch
Indicates that one entity has a specified familial, social, or interpersonal connection to the character Sir Toby Belch.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb5b0408190b46661d80e37b509 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:15 p.m.