Triple
T15721289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriele |
E381098
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Gabriel |
E8490
|
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: Gabriel | Statement: [Gabriele, relatedName, Gabriel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Context triple: [Gabriele, relatedName, Gabriel]
-
A.
Gabriel
chosen
Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
-
B.
Gabriele
Gabriele is a feminine given name of Italian origin, commonly used in various European countries.
-
C.
Adriel
Adriel is the given first name of American former NFL wide receiver A. J. Green.
-
D.
Gabriel Casseus
Gabriel Casseus is an American actor and screenwriter known for his roles in films like "New Jersey Drive" and "Black Hawk Down" and for co-writing the crime thriller "Takers."
-
E.
Gabriel Varden
Gabriel Varden is a virtuous and stout-hearted locksmith in Charles Dickens’s novel "Barnaby Rudge," noted for his integrity and courage during the Gordon Riots.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb0b51081908e652ec4992296fa |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff75866b548190b07392b05e631192 |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.