Triple
T11545068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Witchwood |
E273757
|
entity |
| Predicate | hasKeyword |
P4548
|
FINISHED |
| Object |
Echo
Echo is a Hearthstone keyword that allows a card to be repeatedly cast in the same turn as long as the player has enough mana.
|
E933321
|
NE FINISHED |
How this triple was built (4 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: [The Witchwood, hasKeyword, Echo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Echo Context triple: [The Witchwood, hasKeyword, 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
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.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Echo Triple: [The Witchwood, hasKeyword, Echo]
Generated description
Echo is a Hearthstone keyword that allows a card to be repeatedly cast in the same turn as long as the player has enough mana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Echo Target entity description: Echo is a Hearthstone keyword that allows a card to be repeatedly cast in the same turn as long as the player has enough mana.
-
A.
Echo
chosen
Echo is a Hearthstone keyword that allows players to repeatedly cast the same card in a single turn as long as they have enough mana.
-
B.
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.
-
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 Marvel Comics character, Maya Lopez, a deaf Native American martial artist known for her photographic reflexes and close association with Daredevil and the Avengers.
-
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.
Provenance (5 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e1d754819089f3b6be3404fa0b |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e71392d0388190971bab8906e5e6df |
completed | April 21, 2026, 6:05 a.m. |
| NEDg | Description generation | batch_69e720f4015c81909ba7973c3e781985 |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e75a7a04c88190bb8f3dd3f3e435ef |
completed | April 21, 2026, 11:07 a.m. |
Created at: April 8, 2026, 9:37 p.m.