Triple
T5580763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm In It |
E146633
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Arca |
E144119
|
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: Arca | Statement: [I'm In It, producer, Arca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arca Context triple: [I'm In It, producer, Arca]
-
A.
Arca
chosen
Arca is a Venezuelan experimental electronic music producer, singer, and songwriter known for her avant-garde sound and collaborations with artists like Kanye West, FKA twigs, and Björk.
-
B.
Arca South
Arca South is a master-planned mixed-use business district in Taguig, Metro Manila, being developed as a modern commercial, residential, and lifestyle hub.
-
C.
Arcahaie
Arcahaie is a coastal commune in western Haiti historically known as the birthplace of the Haitian flag.
-
D.
Arakoon
Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
-
E.
Arkesini
Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0206d62548190b8a3c6efc1825661 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0285baa648190bf8e94740ea62466 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:37 p.m.