Triple
T4663755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nightman Cometh |
E102794
|
entity |
| Predicate | featuresRunningGag |
P58285
|
FINISHED |
| Object | misinterpretation of the Nightman’s intentions |
—
|
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: misinterpretation of the Nightman’s intentions | Statement: [The Nightman Cometh, featuresRunningGag, misinterpretation of the Nightman’s intentions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresRunningGag Context triple: [The Nightman Cometh, featuresRunningGag, misinterpretation of the Nightman’s intentions]
-
A.
featuresSupporter
Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
-
B.
featuresAction
Indicates that one entity includes, presents, or showcases a particular action as a notable characteristic or component.
-
C.
featuresDevice
Indicates that one entity includes, incorporates, or provides the other entity as a device within it or as part of its functionality.
-
D.
featuresGroup
Indicates that an entity includes or is associated with a specific group as one of its features or components.
-
E.
featuresExperiment
Indicates that an entity is involved in, or is the subject of, a specific experimental setup, test, or trial.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632d6150819085bab97021c0235a |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:15 p.m.