Triple
T25774302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Dey cheer |
E649102
|
entity |
| Predicate | responseText |
P159508
|
FINISHED |
| Object | Nobody! |
—
|
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: Nobody! | Statement: [Who Dey cheer, responseText, Nobody!]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: responseText Context triple: [Who Dey cheer, responseText, Nobody!]
-
A.
responseField
Indicates that a particular piece of information is included as part of a response or output structure.
-
B.
responseExample
Indicates that one entity serves as an illustrative or sample response corresponding to another entity (such as a prompt, question, or situation).
-
C.
responseUnit
Indicates a unit or entity that provides or carries out a response in relation to another entity or event.
-
D.
responseFrom
Indicates that one entity is the originator or source of a response directed to another entity or request.
-
E.
textReception
Indicates that an entity receives, reads, or otherwise takes in a piece of text produced or sent by another entity.
- 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_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fe5be4a8819083e43efecd8423a0 |
completed | May 2, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 5:33 a.m.