Triple
T11221385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaqua Cox |
E265573
|
entity |
| Predicate | playsCharacter |
P1507
|
FINISHED |
| Object | Echo |
E893898
|
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: Echo | Statement: [Alaqua Cox, playsCharacter, Echo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Echo Context triple: [Alaqua Cox, playsCharacter, Echo]
-
A.
Echo
Echo is one of the official mascots of the Salt Lake 2002 Winter Olympics, represented as a coyote symbolizing the American West and the spirit of the Games.
-
B.
Echo
chosen
Echo is a Marvel Comics character, Maya Lopez, a deaf Native American martial artist known for her photographic reflexes and close association with Daredevil and the Avengers.
-
C.
Echo
Echo is Amazon’s smart speaker line that integrates the Alexa voice assistant to control smart-home devices, play media, and provide information via voice commands.
-
D.
Echo
Echo is a monumental outdoor sculpture by Spanish artist Jaume Plensa, known for its elongated, meditative female head form.
-
E.
Echo
Echo is a mountain nymph from Greek mythology best known for being cursed to only repeat others’ words and for her unrequited love for Narcissus.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8eb84c48190b4f3bede254afde2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad1c57908190a5c65ea4738722e3 |
completed | April 19, 2026, 10:23 a.m. |
Created at: April 8, 2026, 9:30 p.m.