Triple
T17912595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinestro |
E447849
|
entity |
| Predicate | species |
P87
|
FINISHED |
| Object | Korugaran |
—
|
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: Korugaran | Statement: [Sinestro, species, Korugaran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korugaran Context triple: [Sinestro, species, Korugaran]
-
A.
Korugar
chosen
Korugar is a fictional planet in the DC Comics universe best known as the authoritarian-ruled homeworld of the former Green Lantern and later villain Sinestro.
-
B.
Toran
Toran is a given name that can be used for individuals in various cultures and contexts.
-
C.
Kalabar
Kalabar is the primary villain and dark warlock in Disney's "Halloweentown," who seeks to conquer both the magical realm and the human world.
-
D.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
E.
Goleen
Goleen is a small coastal village in County Cork, Ireland, known as a gateway to the scenic Mizen Peninsula and its dramatic Atlantic headlands.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30288ac8190bc633e69447709bf |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:19 a.m.