Triple
T5176833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steropes |
E116818
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Brontes |
E111002
|
NE FINISHED |
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: Brontes | Statement: [Steropes, collaboratesWith, Brontes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brontes Context triple: [Steropes, collaboratesWith, Brontes]
-
A.
Brontes
chosen
Brontes is a one-eyed giant from Greek mythology, one of the Cyclopes known for his role as a divine blacksmith and for forging Zeus’s thunderbolts.
-
B.
Brontë
Brontë is the surname of the renowned 19th-century English literary family that included novelists Charlotte, Emily, and Anne Brontë.
-
C.
Bronte
Bronte is a Sicilian town historically associated with the British title "Duke of Bronté," famously granted to Admiral Horatio Nelson.
-
D.
Emily Brontë
Emily Brontë was a 19th-century English novelist and poet best known for her singular, haunting novel "Wuthering Heights," a cornerstone of Gothic and Victorian literature.
-
E.
Byron
Byron is the given first name of Ban Johnson, the influential early 20th-century American baseball executive who served as the founding president of the American League.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7974a5308190819b100e07189131 |
completed | March 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee07a6620819089e2b3fcb322a47e |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:45 p.m.