Triple
T29121065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest Smith stories |
E737182
|
entity |
| Predicate | firstStory |
P113679
|
FINISHED |
| Object | Shambleau |
—
|
NE NERFINISHED |
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: Shambleau | Statement: [Northwest Smith stories, firstStory, Shambleau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstStory Context triple: [Northwest Smith stories, firstStory, Shambleau]
-
A.
firstStoryTitle
Indicates that the associated value is the title of the first story in an ordered collection of stories.
-
B.
firstRegularStory
Indicates that an entity is the earliest or primary standard (non-special) story associated with another entity in a sequence or collection.
-
C.
firstAppearanceStory
chosen
Indicates the story in which an entity is depicted or mentioned for the first time.
-
D.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
E.
originStoryIncludes
Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a009273634c8190b5b9c87053b56760 |
completed | May 10, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_6a0092171230819096e4274dd97e0410 |
completed | May 10, 2026, 2:11 p.m. |
Created at: April 28, 2026, 11:25 a.m.