Triple
T8412778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecco the Dolphin |
E198662
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Ecco
Ecco is a time-traveling bottlenose dolphin and the protagonist of the classic Sega action-adventure video game series "Ecco the Dolphin."
|
E732845
|
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: Ecco | Statement: [Ecco the Dolphin, mainCharacter, Ecco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ecco Context triple: [Ecco the Dolphin, mainCharacter, Ecco]
-
A.
Ecco
Ecco is a literary imprint known for publishing high-quality fiction, nonfiction, and poetry under the HarperCollins umbrella.
-
B.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
-
C.
Haps
Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
-
D.
Barcha
Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
-
E.
Essa
Essa is a rural township in Simcoe County, Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
- 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: Ecco Triple: [Ecco the Dolphin, mainCharacter, Ecco]
Generated description
Ecco is a time-traveling bottlenose dolphin and the protagonist of the classic Sega action-adventure video game series "Ecco the Dolphin."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ecco Target entity description: Ecco is a time-traveling bottlenose dolphin and the protagonist of the classic Sega action-adventure video game series "Ecco the Dolphin."
-
A.
Ecco
Ecco is a literary imprint known for publishing high-quality fiction, nonfiction, and poetry under the HarperCollins umbrella.
-
B.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
-
C.
Haps
Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
-
D.
Barcha
Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
-
E.
Essa
Essa is a rural township in Simcoe County, Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
- F. None of above. chosen
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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e18e7c8190a30b14136dee3d93 |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0322d1448190aceaf7486c110ff7 |
completed | April 2, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_69ce0781859c8190bb92f41c00af459b |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce089d09c08190ba321aed4044a862 |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:06 p.m.