Triple
T1907997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pet Sematary |
E38045
|
entity |
| Predicate | hasAntagonisticForce |
P4567
|
FINISHED |
| Object | supernatural power of the burial ground |
—
|
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: supernatural power of the burial ground | Statement: [Pet Sematary, hasAntagonisticForce, supernatural power of the burial ground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAntagonisticForce Context triple: [Pet Sematary, hasAntagonisticForce, supernatural power of the burial ground]
-
A.
antagonistOf
Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
-
B.
opposingForce
chosen
Indicates a relationship where one entity actively resists, counters, or works against the actions, goals, or influence of another entity.
-
C.
hasOpposingForceType
Indicates that one force is characterized as being of a type that opposes or counteracts another force.
-
D.
hasAntagonistGroup
Indicates that an entity is opposed or challenged by a specific group acting as its antagonist.
-
E.
hasForcesInvolved
Indicates that specific forces, such as military or organizational units, participate in or are engaged in a particular event or operation.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafeba3d88190afcce67483d8625b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.