Triple
T2191026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ante Pavelić |
E49860
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ante |
E193638
|
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: Ante | Statement: [Ante Pavelić, givenName, Ante]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ante Context triple: [Ante Pavelić, givenName, Ante]
-
A.
Ante
chosen
Ante is a masculine given name of Croatian origin, commonly used in various South Slavic countries.
-
B.
Antu
Antu is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory at Paranal in Chile.
-
C.
Antu
Antu is a Mesopotamian sky and mother goddess, best known as the consort of the supreme god Anu in ancient Sumerian and Akkadian religion.
-
D.
Anto
Anto is a diminutive given name, commonly used as a short form of names like Anton or Antonio in various European and Slavic cultures.
-
E.
Ate
Ate is a populous district in the eastern part of Lima, Peru, known for its mix of industrial zones, residential areas, and growing commercial activity.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf3f5e008190beda3ce5d77209e0 |
completed | March 7, 2026, 6:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5db0352c8190aa9c4c58460df3a4 |
completed | March 9, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:46 p.m.