Triple
T34367495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Kane |
E882053
|
entity |
| Predicate | townReaction |
P179134
|
FINISHED |
| Object | largely abandoned by townspeople |
—
|
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: largely abandoned by townspeople | Statement: [Will Kane, townReaction, largely abandoned by townspeople]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: townReaction Context triple: [Will Kane, townReaction, largely abandoned by townspeople]
-
A.
causedReaction
Indicates that one entity’s action or state brought about a specific reaction or response in another entity.
-
B.
publicReactionToDemolition
Indicates how the public responds or reacts to the demolition of something, such as a building or structure.
-
C.
relatedReaction
Indicates that one reaction is connected or associated with another reaction in some relevant way.
-
D.
crowdAction
Indicates an action or behavior performed collectively by a group of individuals acting as a crowd.
-
E.
reactionToHouseFire
Indicates a response or behavior exhibited by an entity in relation to a house fire event.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71c33edac8190a59f6ff19b265fc5 |
completed | May 3, 2026, 9:58 a.m. |
Created at: May 1, 2026, 1:58 a.m.