Triple
T28788672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stan Norris |
E726888
|
entity |
| Predicate | settingOfMainOrdeal |
P175341
|
FINISHED |
| Object | high-rise building |
—
|
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: high-rise building | Statement: [Stan Norris, settingOfMainOrdeal, high-rise building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfMainOrdeal Context triple: [Stan Norris, settingOfMainOrdeal, high-rise building]
-
A.
settingOfAdventure
Indicates that a location or environment serves as the primary setting where an adventure takes place.
-
B.
settingOfMyth
Indicates that a location or environment serves as the backdrop or context in which a particular myth takes place.
-
C.
settingOfDeath
Indicates the specific place or environment in which an entity’s death occurred.
-
D.
settingEncounter
Indicates that an encounter or interaction is taking place within a particular setting or environment.
-
E.
protagonistConfronts
Indicates that a main character directly faces and challenges another character, force, or problem in a conflictual encounter.
- 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_69f0319aabec81908368720196f69a35 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 28, 2026, 6:22 a.m.