Triple
T36554058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luxmore Grunt |
E901648
|
entity |
| Predicate | hasCompanionRace |
P204932
|
FINISHED |
| Object | Kepler Challenge |
E2188556
|
NE 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: Kepler Challenge | Statement: [Luxmore Grunt, hasCompanionRace, Kepler Challenge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompanionRace Context triple: [Luxmore Grunt, hasCompanionRace, Kepler Challenge]
-
A.
hasCompanionSpecies
Indicates that one entity is accompanied by, or exists in association with, another entity of a different species.
-
B.
hasParentRace
Indicates that one race is the direct ancestral or higher-level race from which another race is derived or classified.
-
C.
hasCompanionPiece
Indicates that one item is conceptually or functionally paired with another item as its companion piece.
-
D.
hasMagicCompanion
Indicates that an entity is accompanied by or associated with another entity that serves as its magical companion.
-
E.
hasCompanionCharacterProfession
Indicates that a companion character is associated with or practices a particular profession.
- F. None of above. chosen
Provenance (5 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39f90809988190952ff4e7bc30f45e |
completed | June 23, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:11 p.m.