Triple
T12510401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliza Dushku |
E299060
|
entity |
| Predicate | playedCharacter |
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: [Eliza Dushku, playedCharacter, Echo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Echo Context triple: [Eliza Dushku, playedCharacter, 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 the 1999 studio album by Tom Petty and the Heartbreakers, noted for its reflective tone and themes of loss and recovery.
-
D.
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.
-
E.
Echo
Echo is a clone trooper in the Star Wars universe who evolves from a by-the-book soldier of the Domino Squad into a cybernetically enhanced member of the Bad Batch.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541d6e508190a4992f328e077467 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb94d608190aae4c8ec39556362 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.