Triple
T12702535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Falco |
E303497
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Albert Falco |
E303497
|
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: Albert Falco | Statement: [Albert Falco, name, Albert Falco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Falco Context triple: [Albert Falco, name, Albert Falco]
-
A.
Albert Falco
chosen
Albert Falco was a renowned French diver, underwater cameraman, and longtime chief diver for Jacques Cousteau’s expeditions.
-
B.
Anderson Falco
Anderson Falco is the adopted son of American actress Edie Falco, known for her roles in "The Sopranos" and "Nurse Jackie."
-
C.
Falco Lombardi
Falco Lombardi is a hot-headed, ace pilot and key member of the Star Fox team in Nintendo’s Star Fox video game series.
-
D.
Roger Falcone
Roger Falcone is an American physicist known for his leadership in the scientific community and his research in ultrafast x-ray and laser science.
-
E.
John D'Arco
John D'Arco is a screenwriter best known for penning the action-comedy film "Barely Lethal."
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961f0941081908a879cde0be48667 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7e0a44819093c90f593ad616b9 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:22 p.m.