Triple
T17985579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Hood |
E430222
|
entity |
| Predicate | storySettingEvent |
P130017
|
FINISHED |
| Object | Thanksgiving weekend |
—
|
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: Thanksgiving weekend | Statement: [Ben Hood, storySettingEvent, Thanksgiving weekend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storySettingEvent Context triple: [Ben Hood, storySettingEvent, Thanksgiving weekend]
-
A.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
B.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
C.
settingOfAdventure
Indicates that a location or environment serves as the primary setting where an adventure takes place.
-
D.
settingEncounter
Indicates that an encounter or interaction is taking place within a particular setting or environment.
-
E.
storyWorld
Indicates the fictional universe or narrative setting within which a story, event, or character exists or takes place.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29b4e808190af06074168169035 |
completed | April 19, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:23 a.m.