Triple
T18527657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warbound |
E452759
|
entity |
| Predicate | hasMemberSpecies |
P10920
|
FINISHED |
| Object | Sakaaran |
—
|
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: Sakaaran | Statement: [Warbound, hasMemberSpecies, Sakaaran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakaaran Context triple: [Warbound, hasMemberSpecies, Sakaaran]
-
A.
Sakaarian
Sakaarian is the native language spoken by the inhabitants of the planet Sakaar in the Marvel universe.
-
B.
Sakaar
chosen
Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
-
C.
Saratak
Saratak is a rural village located in Armenia's Shirak Province.
-
D.
Sa’och
Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
-
E.
Khara
Khara is a Japanese animation studio founded by Hideaki Anno, best known for producing the Rebuild of Evangelion film series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533f9bd1081909743b24e290b7dfe |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.