Triple
T15398750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wild Swan |
E368251
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Coco
Coco is a character featured in the story "The Wild Swan."
|
E1154131
|
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: Coco | Statement: [The Wild Swan, hasPart, Coco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coco Context triple: [The Wild Swan, hasPart, Coco]
-
A.
Coco
Coco is a 2017 Pixar animated film that follows a young Mexican boy’s journey through the Land of the Dead as he uncovers his family’s history and celebrates Día de los Muertos.
-
B.
Coco
Coco is the debut studio album by American singer-songwriter Colbie Caillat, featuring her breakout hit "Bubbly" and a laid-back acoustic pop sound.
-
C.
Coco
Coco is a quirky, bird-airplane-palm-tree hybrid imaginary friend from the animated series "Foster's Home for Imaginary Friends," known for her eccentric behavior and unique way of speaking.
-
D.
Coco
Coco is a pink poodle character from the Australian children's animated series "Bluey," known for being one of Bluey’s energetic and sometimes anxious friends.
-
E.
Coco
"Coco" is a notable work by Jason Katz, recognized for its creative storytelling and distinctive artistic style.
- 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: Coco Triple: [The Wild Swan, hasPart, Coco]
Generated description
Coco is a character featured in the story "The Wild Swan."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coco Target entity description: Coco is a character featured in the story "The Wild Swan."
-
A.
Coco
Coco is a pink poodle character from the Australian children's animated series "Bluey," known for being one of Bluey’s energetic and sometimes anxious friends.
-
B.
Coco
Coco is a quirky, bird-airplane-palm-tree hybrid imaginary friend from the animated series "Foster's Home for Imaginary Friends," known for her eccentric behavior and unique way of speaking.
-
C.
Coco
Coco is a supporting character in the 2006 crime drama film "Waist Deep," involved in the gritty urban underworld that drives the movie’s central conflict.
-
D.
Coco
Coco is a 2017 Pixar animated film that follows a young Mexican boy’s journey through the Land of the Dead as he uncovers his family’s history and celebrates Día de los Muertos.
-
E.
Coco
Coco is a Broadway musical best known for starring Katharine Hepburn in her only stage musical role, portraying fashion designer Coco Chanel.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8c5d40819086622b70edcb6294 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13542c908190abf765b0530c76ce |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff14042ce8819084817836b096f175 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14745a8c81909b10d6b21b88b50b |
completed | May 9, 2026, 11:03 a.m. |
Created at: April 10, 2026, 3:19 a.m.