Triple
T5092739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikel |
E114789
|
entity |
| Predicate | isRelatedName |
P3889
|
FINISHED |
| Object | Miquel |
E114791
|
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: Miquel | Statement: [Mikel, isRelatedName, Miquel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miquel Context triple: [Mikel, isRelatedName, Miquel]
-
A.
Miquel
chosen
Miquel is a given name, commonly used in Catalan and other languages, that corresponds to the English name Michael.
-
B.
Jordi
"Jordi" is a studio album by American pop-rock band Maroon 5, known for its contemporary pop sound and collaborations with various guest artists.
-
C.
Josep
Josep "Pep" Guardiola is a highly successful Spanish football manager and former player, renowned for his innovative tactics and trophy-laden spells at clubs like FC Barcelona, Bayern Munich, and Manchester City.
-
D.
Sergi
Sergi is a masculine given name of Catalan origin, commonly used in Spain and other Catalan-speaking regions.
-
E.
Miquel Barceló
Miquel Barceló is a renowned contemporary Spanish painter and sculptor known for his experimental techniques and large-scale works, including major public art commissions.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd754369708190bf4e171a904a19e1 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb14f097081908d835190f13796dd |
completed | March 21, 2026, 2:55 p.m. |
Created at: March 20, 2026, 1:40 p.m.