Triple
T18440674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spectre |
E450516
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Eclipso |
—
|
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: Eclipso | Statement: [Spectre, enemy, Eclipso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eclipso Context triple: [Spectre, enemy, Eclipso]
-
A.
Eclipso
chosen
Eclipso is a powerful DC Comics supervillain and dark cosmic entity who embodies the wrath of God and often serves as a major mystical adversary to heroes like the Spectre.
-
B.
Eclipse
Eclipse is a giant star flyer attraction at Stockholm’s Gröna Lund amusement park that lifts riders high above the city for panoramic views and a thrilling spinning experience.
-
C.
Eclipse
Eclipse is a widely used open-source integrated development environment (IDE) primarily for Java and other programming languages, known for its extensible plugin-based architecture.
-
D.
Eclipse
Eclipse is the third novel in Stephenie Meyer's bestselling Twilight Saga, continuing the supernatural romance and conflict between Bella Swan, Edward Cullen, and Jacob Black.
-
E.
Eclipse
Eclipse is a brand of sugar-free chewing gum and mints produced by the Wrigley Company, known for its strong breath-freshening properties.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c10a86c819091196968b648fc92 |
completed | April 19, 2026, 6:16 p.m. |
Created at: April 10, 2026, 11:30 a.m.