Triple
T15416655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorilla Zoe |
E369256
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Echo |
E1108744
|
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: [Gorilla Zoe, notableSingle, Echo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Echo Context triple: [Gorilla Zoe, notableSingle, 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
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 the 1999 studio album by Tom Petty and the Heartbreakers, noted for its reflective tone and themes of loss and recovery.
-
D.
Echo
chosen
"Echo" is a collaborative hip-hop track by the rap duo Bad Meets Evil, showcasing their rapid-fire lyricism and intricate wordplay.
-
E.
Echo
Echo is a monumental outdoor sculpture by Spanish artist Jaume Plensa, known for its elongated, meditative female head form.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea8a8a081909749db1b29d85fcc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219fabe481909162baba9212ac1f |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:20 a.m.