Triple
T8901000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh the Drover |
E211928
|
entity |
| Predicate | hasKeyScene |
P47737
|
FINISHED |
| Object | boxing match |
—
|
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: boxing match | Statement: [Hugh the Drover, hasKeyScene, boxing match]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyScene Context triple: [Hugh the Drover, hasKeyScene, boxing match]
-
A.
containsScene
chosen
Indicates that one entity (typically a media item or narrative work) includes or features a particular scene as part of its content.
-
B.
hasKeyPassage
Indicates that one entity contains or includes a particularly important or central passage relevant to another entity.
-
C.
hasKeyFigure
Indicates that an entity includes, involves, or is characterized by an important or central person relevant to it.
-
D.
hasKeyActor
Indicates that an entity plays a primary or central role (a key actor) in relation to another entity or context.
-
E.
hasKeyActivity
Indicates that an entity is associated with or performs a primary or central activity.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6428ffc48190814f6b865961dbd1 |
completed | April 1, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2bfb38819083d5eb1af8ccf4d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:54 p.m.