Triple
T35225575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberta (Fences character) |
E1017083
|
entity |
| Predicate | causesConflictBetween |
P75326
|
FINISHED |
| Object | Troy Maxson and Rose Maxson |
—
|
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: Troy Maxson and Rose Maxson | Statement: [Alberta (Fences character), causesConflictBetween, Troy Maxson and Rose Maxson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causesConflictBetween Context triple: [Alberta (Fences character), causesConflictBetween, Troy Maxson and Rose Maxson]
-
A.
triggersConflict
chosen
Indicates that one entity initiates or causes a dispute, clash, or incompatibility to arise with another entity or within a system.
-
B.
conflictWith
Indicates that two entities are in opposition or disagreement, such that their goals, actions, or states are incompatible or interfere with each other.
-
C.
drivesConflictType
Indicates a relationship where one factor or entity is the primary cause or driver of a particular type or category of conflict.
-
D.
conflictsOccurIn
Indicates that one or more conflicts take place within, or are situated in, a specified context, location, or setting.
-
E.
featuresConflictType
Indicates that there is a specific type or category of conflict between the features or characteristics of the related entities.
- 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 3, 2026, 4:02 p.m.