Triple
T14880778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella del Carmen Banderas |
E349993
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Alexander Bauer |
E1114449
|
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: Alexander Bauer | Statement: [Stella del Carmen Banderas, sibling, Alexander Bauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Bauer Context triple: [Stella del Carmen Banderas, sibling, Alexander Bauer]
-
A.
Alexander Bauer
chosen
Alexander Bauer is the son of American actress Melanie Griffith and Cuban-American actor Steven Bauer.
-
B.
Alexander Heppe
Alexander Heppe is a German local politician who serves as the mayor of the town of Eschwege.
-
C.
Alexander Beyer
Alexander Beyer is a German actor known for his roles in film and television, including the Cold War drama series "Deutschland 86."
-
D.
Alexander Grosset
Alexander Grosset was a publisher best known as the co-founder of the American publishing house Grosset & Dunlap.
-
E.
Alexander Zuntz
Alexander Zuntz was an early New York financier and broker who was among the founding figures of what became the New York Stock Exchange.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b591f3c81909ea8a9217d96e0d2 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.