Triple
T18101131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conrad |
E433217
|
entity |
| Predicate | hasAlternativeDescription |
P519
|
FINISHED |
| Object | the Corsair |
—
|
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: the Corsair | Statement: [Conrad, hasAlternativeDescription, the Corsair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Corsair Context triple: [Conrad, hasAlternativeDescription, the Corsair]
-
A.
the Corsair
chosen
The Corsair is a renegade Time Lord from the Doctor Who universe, known for their adventurous, gender-fluid incarnations and friendship with the Doctor.
-
B.
Corsair
Corsair is a computer hardware and peripherals company best known for its gaming-focused products such as keyboards, mice, headsets, and PC components.
-
C.
Corsair
Corsair is a Protoss air unit in StarCraft: Brood War known for its fast movement and powerful area-of-effect anti-air disruption ability.
-
D.
The Corsair
The Corsair is a popular narrative poem by Lord Byron, first published in 1814, that tells the romantic and adventurous tale of a pirate hero and became a major literary sensation of its time.
-
E.
Corsair International
Corsair International is a French long-haul leisure airline operating flights primarily from Paris to holiday destinations in the Caribbean, Indian Ocean, and North America.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb5e6208190b3c3cce3b95d66ad |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:27 a.m.