Triple
T7647112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1986 New York Mets season |
E173152
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Amazins |
E33960
|
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: Amazins | Statement: [1986 New York Mets season, nickname, Amazins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazins Context triple: [1986 New York Mets season, nickname, Amazins]
-
A.
Amazins
chosen
The "Amazins" is a popular nickname for the New York Mets baseball team, highlighting their history of surprising and dramatic performances.
-
B.
Amazan
Amazan is the adventurous and virtuous hero of Voltaire’s philosophical tale "La Princesse de Babylone."
-
C.
Armamar
Armamar is a Portuguese municipality in the Douro region, known for its terraced vineyards and wine production landscapes.
-
D.
Amat
Amat is a surname most notably borne by Pol Amat, a renowned Spanish field hockey player considered one of the sport’s greats.
-
E.
Mazani
Mazani is an alternative name for the Mazanderani language, an Iranian language spoken primarily along the southern coast of the Caspian Sea in northern Iran.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf3bd388190a8cb0f13322a7c00 |
completed | March 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89ad236448190886611ac9d1cc393 |
completed | March 29, 2026, 3:21 a.m. |
Created at: March 27, 2026, 3:58 p.m.