Triple
T13733162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Speed Scene |
E329861
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object | Dom Camardella |
E1057119
|
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: Dom Camardella | Statement: [High Speed Scene, hasNotableMember, Dom Camardella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dom Camardella Context triple: [High Speed Scene, hasNotableMember, Dom Camardella]
-
A.
Dom Camardella
chosen
Dom Camardella is a musician best known as a member of the rock band High Speed Scene.
-
B.
Charles Camarda
Charles Camarda is a NASA astronaut and aerospace engineer best known for flying on the Space Shuttle Discovery’s STS-114 “Return to Flight” mission following the Columbia disaster.
-
C.
Greg D'Auria
Greg D'Auria is a film editor known for his work on major Hollywood productions, including the science fiction film "Star Trek Beyond."
-
D.
Roger de Lauria
Roger de Lauria was a renowned 13th-century admiral of the Crown of Aragon, celebrated for his decisive naval victories in the Mediterranean during the War of the Sicilian Vespers.
-
E.
Marco Barricelli
Marco Barricelli is an Italian-American actor and theatre director known for his work on stage and in voice roles for film and television.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0201d3c48190aa306be231a28bc1 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84c02e08190b8ef620575157c14 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:55 p.m.