Triple
T7215946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Edwin Wright III |
E149534
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | ¡Dos! |
E21058
|
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: ¡Dos! | Statement: [Frank Edwin Wright III, notableWork, ¡Dos!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ¡Dos! Context triple: [Frank Edwin Wright III, notableWork, ¡Dos!]
-
A.
¡Dos!
chosen
¡Dos! is the second album in Green Day’s ¡Uno! ¡Dos! ¡Tré! trilogy, showcasing a garage rock and power pop sound distinct from their earlier punk records.
-
B.
¡Dos! is second album
¡Dos! is the second studio album by American rock band Green Day, released as part of their ¡Uno! ¡Dos! ¡Tré! album trilogy.
-
C.
¡Dos! universe
The ¡Dos! universe is a fictional setting created by Ashley, likely characterized by its own distinct characters, locations, and internal rules that define the stories taking place within it.
-
D.
Duo
Duo is a Google-developed video calling application designed for simple, high-quality one-to-one and group conversations across mobile and web platforms.
-
E.
One Two
One Two is a small-time London criminal and the central protagonist in Guy Ritchie's crime film "RocknRolla."
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e98ebe1c81909891b4a1c2c3a4aa |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfd82c488190bfa85ffdd7f385ef |
completed | March 28, 2026, 11:47 a.m. |
Created at: March 27, 2026, 2:53 p.m.