Triple
T20773771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Just one more thing" |
E511302
|
entity |
| Predicate | questionTypeIntroduced |
P12351
|
FINISHED |
| Object | follow‑up question |
—
|
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: follow‑up question | Statement: ["Just one more thing", questionTypeIntroduced, follow‑up question]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionTypeIntroduced Context triple: ["Just one more thing", questionTypeIntroduced, follow‑up question]
-
A.
questionType
chosen
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
B.
questionPresented
Indicates that a question has been posed or displayed to an entity for consideration or response.
-
C.
questionStyle
Indicates the manner or format in which a question is posed or expressed.
-
D.
questionFormulation
Indicates that one entity formulates, poses, or expresses a question directed toward another entity or context.
-
E.
questionnaireType
Indicates the specific category or kind of questionnaire associated with an entity or interaction.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c269638881909d96b847f7de5585 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:37 p.m.