Triple
T15738756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weywot |
E381545
|
entity |
| Predicate | discoveredBy |
P412
|
FINISHED |
| Object | T. A. Suer |
E1026165
|
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: T. A. Suer | Statement: [Weywot, discoveredBy, T. A. Suer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T. A. Suer Context triple: [Weywot, discoveredBy, T. A. Suer]
-
A.
T.-A. Suer
chosen
T.-A. Suer is an astronomer known for co-discovering Vanth, the moon of the trans-Neptunian dwarf planet Orcus.
-
B.
Alan Sues
Alan Sues was an American comic actor best known for his flamboyant, zany characters on the groundbreaking 1960s–70s television sketch comedy show Rowan & Martin's Laugh-In.
-
C.
Jay Tarses
Jay Tarses is an American television writer, producer, and actor known for his work on acclaimed comedy series such as "The Bob Newhart Show" and "Buffalo Bill."
-
D.
Alan Ereira
Alan Ereira is a British historian, broadcaster, and documentary filmmaker known for his work on medieval history and indigenous cultures.
-
E.
Robert Taurit
Robert Taurit was a sculptor known for his work on the Piskaryovskoye Memorial Cemetery in Saint Petersburg, commemorating the victims of the Siege of Leningrad.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd816308190a297986ee7e5554c |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff830336248190a8bbd8153dd95daa |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.