Triple
T11546398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moneybags |
E273784
|
entity |
| Predicate | interactionWithSpyro |
P66544
|
FINISHED |
| Object | demands payment to open bridges |
—
|
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: demands payment to open bridges | Statement: [Moneybags, interactionWithSpyro, demands payment to open bridges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interactionWithSpyro Context triple: [Moneybags, interactionWithSpyro, demands payment to open bridges]
-
A.
serpentAction
Indicates an action performed by, involving, or characteristic of a serpent in relation to another entity or context.
-
B.
Prank Encounters
Indicates a relationship where one party orchestrates a deceptive or surprising prank scenario that another party unexpectedly experiences or becomes the target of.
-
C.
playInGameIntroduced
Indicates that an entity participates as a playable element within the specific game in which it was first introduced.
-
D.
interactionMechanism
chosen
Indicates the process or means by which one entity affects, influences, or interacts with another.
-
E.
cheatsOn
Indicates that one entity is being unfaithful or disloyal in a committed relationship by engaging in a romantic or sexual involvement with another 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e3ad548190b2c88332f5d919bd |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087cbe7c819085680f3d67ccc978 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.