Triple
T13793060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMG |
E331446
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Jiggable Pie
Jiggable Pie is a musical work by the artist AMG, known for its playful, sexually explicit lyrics and funky West Coast hip-hop style.
|
E1061303
|
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: Jiggable Pie | Statement: [AMG, notableWork, Jiggable Pie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiggable Pie Context triple: [AMG, notableWork, Jiggable Pie]
-
A.
The Pie
The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
-
B.
The Pie Hole
The Pie Hole is a quirky, retro-style pie shop and central setting in the television series "Pushing Daisies," known for its inventive pies and eccentric staff.
-
C.
Pie in the Sky
Pie in the Sky is a British television drama-comedy series about a detective who balances police work with running his own restaurant.
-
D.
Pie-IX
Pie-IX is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving as a key transit access point to the Olympic Stadium and surrounding attractions.
-
E.
Yakky Doodle
Yakky Doodle is a small, yellow cartoon duck character from Hanna-Barbera known for his high-pitched voice and frequent need for protection from predators.
- 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: Jiggable Pie Triple: [AMG, notableWork, Jiggable Pie]
Generated description
Jiggable Pie is a musical work by the artist AMG, known for its playful, sexually explicit lyrics and funky West Coast hip-hop style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jiggable Pie Target entity description: Jiggable Pie is a musical work by the artist AMG, known for its playful, sexually explicit lyrics and funky West Coast hip-hop style.
-
A.
The Pie
The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
-
B.
The Pie Hole
The Pie Hole is a quirky, retro-style pie shop and central setting in the television series "Pushing Daisies," known for its inventive pies and eccentric staff.
-
C.
Pie in the Sky
Pie in the Sky is a British television drama-comedy series about a detective who balances police work with running his own restaurant.
-
D.
Pie-IX
Pie-IX is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving as a key transit access point to the Olympic Stadium and surrounding attractions.
-
E.
Yakky Doodle
Yakky Doodle is a small, yellow cartoon duck character from Hanna-Barbera known for his high-pitched voice and frequent need for protection from predators.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0258a1408190a837d17c6d6a2bd4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b083387081909c6f4beb0e12cf36 |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b14fe1cc8190b1a5f6f0e80b7e39 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b20f67048190a641527353e3ff43 |
completed | May 3, 2026, 8:37 p.m. |
Created at: April 9, 2026, 10:11 p.m.