Triple
T20632865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marco Perego-Saldaña |
E507000
|
entity |
| Predicate | coWriterWith |
P7870
|
FINISHED |
| Object | Arlen Escarpeta |
—
|
NE NERFINISHED |
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: Arlen Escarpeta | Statement: [Marco Perego-Saldaña, coWriterWith, Arlen Escarpeta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arlen Escarpeta Context triple: [Marco Perego-Saldaña, coWriterWith, Arlen Escarpeta]
-
A.
Arlen Escarpeta
chosen
Arlen Escarpeta is a Belizean-American actor known for his roles in films such as "Friday the 13th" (2009), "Final Destination 5," and the sports drama "We Are Marshall."
-
B.
Arlen
Arlen is a given name most notably borne by Arlen Specter, a long-serving United States Senator from Pennsylvania.
-
C.
Arlen
Arlen is a village and municipal district within the town of Rielasingen-Worblingen in the state of Baden-Württemberg, Germany.
-
D.
Arlen Bitterbuck
Arlen Bitterbuck is a fictional Native American death row inmate from Stephen King’s novel "The Green Mile," known for being one of the first prisoners executed in the story.
-
E.
Arlen Thompson
Arlen Thompson is a Canadian drummer best known as a member of the indie rock band Wolf Parade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0bdcd88190a59d68e03370b271 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.