Triple
T31480568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Adventure of the Stockbroker's Clerk |
E803125
|
entity |
| Predicate | characterRoleOfHallPycroft |
P192169
|
FINISHED |
| Object | victim of fraud |
—
|
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: victim of fraud | Statement: [The Adventure of the Stockbroker's Clerk, characterRoleOfHallPycroft, victim of fraud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterRoleOfHallPycroft Context triple: [The Adventure of the Stockbroker's Clerk, characterRoleOfHallPycroft, victim of fraud]
-
A.
describesCharacterRole
chosen
Indicates that one entity specifies or defines the narrative or functional role played by another entity.
-
B.
roleInTheGoldenCompass
Indicates that an entity has a specific role or character part in the work "The Golden Compass."
-
C.
roleInTheBlackCauldron
Indicates that an entity has a specific role or appearance in the work "The Black Cauldron."
-
D.
characterPlayedBy Charles Hawtrey
Indicates that a given character is portrayed or acted by Charles Hawtrey.
-
E.
roleInHarryPotter
Indicates that one entity has a specific role or character part within the Harry Potter series in relation to the other entity.
- 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_69f348c9477c8190bc0a21f6d482d2fc |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
Created at: April 30, 2026, 9:32 p.m.