Triple
T30616101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Question |
E779319
|
entity |
| Predicate | writerOnSeries |
P161248
|
FINISHED |
| Object | Dennis O'Neil |
—
|
NE NERFINISHED |
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: Dennis O'Neil | Statement: [The Question, writerOnSeries, Dennis O'Neil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writerOnSeries Context triple: [The Question, writerOnSeries, Dennis O'Neil]
-
A.
hasWrittenForSeries
chosen
Indicates that an entity has authored or contributed written content for a particular series.
-
B.
reporterSeries
Indicates that a reporter is associated with, contributes to, or is part of a particular series of reports or stories.
-
C.
writerProperty
Indicates that one entity serves as the writer or author associated with another entity.
-
D.
wroteTelevisionSeriesFor
Indicates that one entity is the writer or creator of the script or content for a particular television series for another entity (such as a network, studio, or production).
-
E.
playWrittenBy
Indicates that a particular play was authored or written by a specific person or 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689eabc8c8190af11c907e21b0036 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:26 p.m.