Triple
T11123999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What'd I Say |
E263087
|
entity |
| Predicate | causedReaction |
P97670
|
FINISHED |
| Object | banned by some radio stations |
—
|
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: banned by some radio stations | Statement: [What'd I Say, causedReaction, banned by some radio stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causedReaction Context triple: [What'd I Say, causedReaction, banned by some radio stations]
-
A.
relatedReaction
Indicates that one reaction is connected or associated with another reaction in some relevant way.
-
B.
reaction
Indicates a chemical or physical process in which one set of substances or conditions transforms into another, often involving interaction, change, or response between entities.
-
C.
reactionType
Indicates the specific kind or category of reaction that occurs between entities or in response to an event or stimulus.
-
D.
featuresReaction
Indicates that one entity exhibits, displays, or includes a particular reaction associated with another entity or context.
-
E.
netReaction
Indicates the overall chemical transformation resulting from combining all individual reaction steps, showing only the net change between reactants and products.
- F. None of above. chosen
Provenance (4 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82e933481908550499cf9dd6531 |
completed | April 9, 2026, 5:55 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d75112eb1c8190ba1dd51e42e8a7e8 |
completed | April 9, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:28 p.m.