Triple
T17912906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinestro Corps War |
E447855
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Qward |
—
|
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: Qward | Statement: [Sinestro Corps War, location, Qward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qward Context triple: [Sinestro Corps War, location, Qward]
-
A.
Qward
chosen
Qward is a malevolent antimatter universe world in DC Comics, known as the birthplace and stronghold of cosmic threats like the Anti-Monitor and the Weaponers of Qward.
-
B.
Qwaraña
Qwaraña is an alternative name for the Qwara language, a lesser-known Afroasiatic language historically spoken by the Beta Israel (Ethiopian Jewish) community in Ethiopia.
-
C.
Kwaro'ae
Kwaro'ae is an Oceanic language spoken on Malaita in the Solomon Islands, closely related to other Malaitan languages.
-
D.
Quarteera
Quarteera is a Berlin-based LGBTQ+ organization focused on supporting and advocating for Russian-speaking queer communities.
-
E.
Quarlous
Quarlous is a sharp-witted, scheming gentleman suitor in Ben Jonson’s comedy "Bartholomew Fair," known for his satirical commentary and manipulative antics amid the fair’s chaos.
- 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.