Triple
T10469764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shrek the Musical (London production) |
E246892
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Gingy
Gingy is the wisecracking, resilient gingerbread man character from the Shrek franchise, known for his high-pitched voice and memorable comic moments.
|
E864566
|
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: Gingy | Statement: [Shrek the Musical (London production), featuresCharacter, Gingy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gingy Context triple: [Shrek the Musical (London production), featuresCharacter, Gingy]
-
A.
Onich
Onich is a small village on the shores of Loch Linnhe in the Scottish Highlands, known for its scenic coastal views and proximity to Glencoe and Fort William.
-
B.
Hagonoy
Hagonoy is a coastal municipality in the province of Bulacan in the Philippines, known for its fishing industry and aquaculture.
-
C.
Hikarigaoka
Hikarigaoka is a large residential neighborhood in Tokyo known for its extensive public housing complexes, parks, and planned urban layout.
-
D.
Sugamo
Sugamo is a Tokyo neighborhood popularly known as the “Harajuku for old ladies,” famed for its Jizō-dōri shopping street and large elderly clientele.
-
E.
Ishkashimi
Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
- 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: Gingy Triple: [Shrek the Musical (London production), featuresCharacter, Gingy]
Generated description
Gingy is the wisecracking, resilient gingerbread man character from the Shrek franchise, known for his high-pitched voice and memorable comic moments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gingy Target entity description: Gingy is the wisecracking, resilient gingerbread man character from the Shrek franchise, known for his high-pitched voice and memorable comic moments.
-
A.
Onich
Onich is a small village on the shores of Loch Linnhe in the Scottish Highlands, known for its scenic coastal views and proximity to Glencoe and Fort William.
-
B.
Hagonoy
Hagonoy is a coastal municipality in the province of Bulacan in the Philippines, known for its fishing industry and aquaculture.
-
C.
Hikarigaoka
Hikarigaoka is a large residential neighborhood in Tokyo known for its extensive public housing complexes, parks, and planned urban layout.
-
D.
Sugamo
Sugamo is a Tokyo neighborhood popularly known as the “Harajuku for old ladies,” famed for its Jizō-dōri shopping street and large elderly clientele.
-
E.
Ishkashimi
Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89ffdfd988190a37b3444d096e678 |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a1656b348190ba932d03402d6a4d |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2c550ac81908444c6abfe14698a |
completed | April 10, 2026, 7:12 a.m. |
Created at: April 6, 2026, 12:20 p.m.