Triple
T1710314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ante Razov |
E36966
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Ante
Ante is a masculine given name of Croatian origin, commonly used in various South Slavic countries.
|
E193638
|
NE FINISHED |
How this triple was built (4 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 Razov, givenName, Ante]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ante Context triple: [Ante Razov, givenName, Ante]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Frentani
The Frentani were an ancient Italic tribe inhabiting the Adriatic coast of central Italy, known for their interactions and eventual alliance with the Roman Republic.
-
E.
Cruquius
Cruquius is a village in North Holland, Netherlands, known for its historic steam pumping station that helped drain the Haarlemmermeer lake.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ante Triple: [Ante Razov, givenName, Ante]
Generated description
Ante is a masculine given name of Croatian origin, commonly used in various South Slavic countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ante Target entity description: Ante is a masculine given name of Croatian origin, commonly used in various South Slavic countries.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Frentani
The Frentani were an ancient Italic tribe inhabiting the Adriatic coast of central Italy, known for their interactions and eventual alliance with the Roman Republic.
-
E.
Cruquius
Cruquius is a village in North Holland, Netherlands, known for its historic steam pumping station that helped drain the Haarlemmermeer lake.
- F. None of above. chosen
Provenance (5 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa631329088190a2ce8f755bd69fc7 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8adb1b588190b93f9d28d27cab72 |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad957912808190be5b6ed8d3f20535 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97accca48190bc43e94337589a5f |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.