Triple
T23882496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occasional Wife |
E600238
|
entity |
| Predicate | hasNarrationDevice |
P23847
|
FINISHED |
| Object | commentary by The Man-in-the-Middle |
—
|
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: commentary by The Man-in-the-Middle | Statement: [Occasional Wife, hasNarrationDevice, commentary by The Man-in-the-Middle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNarrationDevice Context triple: [Occasional Wife, hasNarrationDevice, commentary by The Man-in-the-Middle]
-
A.
hasNarration
Indicates that an entity provides spoken or written commentary or storytelling for another entity, such as a work, event, or scene.
-
B.
hasNarrativeDevice
chosen
Indicates that one entity employs, contains, or is characterized by a particular narrative device used in storytelling or discourse.
-
C.
hasCoNarrator
Indicates that two or more entities share the role of narrating the same work, event, or story together.
-
D.
narratedTo
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
-
E.
settingOfNarration
Indicates the place, time, or context in which a narrated event or story takes place.
- 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ccfaef348190b4820b6f3648c60c |
completed | April 29, 2026, 9:18 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:24 p.m.