Triple
T37470124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zereth Mortis |
E931131
|
entity |
| Predicate | introducedInStoryChapter |
P42626
|
FINISHED |
| Object | Eternity’s End campaign |
—
|
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: Eternity’s End campaign | Statement: [Zereth Mortis, introducedInStoryChapter, Eternity’s End campaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedInStoryChapter Context triple: [Zereth Mortis, introducedInStoryChapter, Eternity’s End campaign]
-
A.
foundInChapter
Indicates that something (such as a concept, section, or element) is contained within or occurs in a specific chapter.
-
B.
beginsAtChapter
Indicates that an entity (such as a section, event, or reference) starts or first occurs at a specified chapter in a structured work.
-
C.
firstAppearanceChapter
chosen
Indicates the chapter in which an entity (such as a character, item, or concept) is first introduced or appears in a work.
-
D.
basedOnChapter
Indicates that something (such as a work, section, or element) is derived from, adapted from, or primarily informed by a specific chapter.
-
E.
gameChapter
Indicates that one entity is a chapter, level, or segment that forms part of the progression or structure of a game.
- 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_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fedec693b08190b0f8bfdb921e0766 |
completed | May 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69fede16c1d48190a20d8a9c5722c307 |
completed | May 9, 2026, 7:11 a.m. |
Created at: May 3, 2026, 4:17 p.m.