Triple
T8359017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anth |
E196754
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Anto |
E151237
|
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: Anto | Statement: [Anth, relatedName, Anto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anto Context triple: [Anth, relatedName, Anto]
-
A.
Anto
chosen
Anto is a diminutive given name, commonly used as a short form of names like Anton or Antonio in various European and Slavic cultures.
-
B.
Davo
Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
-
C.
Tino
Tino is the commonly used nickname of former Major League Baseball first baseman Tino Martinez, best known for his years with the New York Yankees in the late 1990s and early 2000s.
-
D.
Aroldo
Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
-
E.
Ante
Ante is a masculine given name of Croatian origin, commonly used in various South Slavic countries.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb807134008190b4671326e0414210 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc76d49c881909e8e93b8f7d940df |
completed | April 2, 2026, 1:33 a.m. |
Created at: March 30, 2026, 5:59 p.m.