Triple
T14329834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | True IRA (former) |
E355315
|
entity |
| Predicate | hasFictionalOpposition |
P97499
|
FINISHED |
| Object | law enforcement in Sons of Anarchy |
—
|
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: law enforcement in Sons of Anarchy | Statement: [True IRA (former), hasFictionalOpposition, law enforcement in Sons of Anarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalOpposition Context triple: [True IRA (former), hasFictionalOpposition, law enforcement in Sons of Anarchy]
-
A.
hasFictionalWar
Indicates that there exists a fictional or imagined war involving the related entities.
-
B.
opposesFictional
chosen
Indicates that one fictional entity is in opposition or conflict with another within a narrative or imagined context.
-
C.
hasAntagonisticProtagonist
Indicates that the work features a main character who opposes or undermines the typical heroic or moral expectations of a traditional protagonist.
-
D.
hasFictionalUniverseConflict
Indicates that there is a conflict or incompatibility between the fictional universes associated with the related entities.
-
E.
hasFictionalLeader
Indicates that an entity is led or governed by a leader who is a fictional character rather than a real person.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1def0081908f03cda8e84d20c0 |
completed | April 14, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.