Triple
T17912836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Lantern: Rebirth |
E447854
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Ganthet |
—
|
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: Ganthet | Statement: [Green Lantern: Rebirth, featuresCharacter, Ganthet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganthet Context triple: [Green Lantern: Rebirth, featuresCharacter, Ganthet]
-
A.
Ganthet
chosen
Ganthet is a wise and compassionate Guardian of the Universe from DC Comics, best known for mentoring Green Lanterns and challenging the rigid traditions of his fellow Guardians.
-
B.
Garat
Garat is a French surname most notably borne by Dominique Joseph Garat, an 18th–19th century French journalist, philosopher, and politician.
-
C.
Kothoga
Kothoga is the monstrous, chimeric creature that serves as the primary antagonist in the horror film "The Relic."
-
D.
Gnafron
Gnafron is a traditional comic character from the Lyonnais Guignol puppet theatre, typically portrayed as Guignol’s jovial, wine-loving cobbler friend.
-
E.
Louletanos
Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
- 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.