Triple
T14780141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gendry |
E347368
|
entity |
| Predicate | companion |
P2932
|
FINISHED |
| Object |
Hot Pie
Hot Pie is a minor character in the "A Song of Ice and Fire" novels and the "Game of Thrones" TV series, known as a former orphan and traveling companion of Arya Stark who becomes a baker.
|
E1119017
|
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: Hot Pie | Statement: [Gendry, companion, Hot Pie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot Pie Context triple: [Gendry, companion, Hot Pie]
-
A.
The Pie
The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
-
B.
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.
-
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.
Cookin' Up
Cookin' Up is a track featured on the album "Crime Pays," likely contributing to its gritty, street-oriented hip-hop sound.
-
E.
Peacock Pie
Peacock Pie is a celebrated collection of whimsical and imaginative children's poems by English writer Walter de la Mare.
- 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: Hot Pie Triple: [Gendry, companion, Hot Pie]
Generated description
Hot Pie is a minor character in the "A Song of Ice and Fire" novels and the "Game of Thrones" TV series, known as a former orphan and traveling companion of Arya Stark who becomes a baker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hot Pie Target entity description: Hot Pie is a minor character in the "A Song of Ice and Fire" novels and the "Game of Thrones" TV series, known as a former orphan and traveling companion of Arya Stark who becomes a baker.
-
A.
The Pie
The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
-
B.
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.
-
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.
Cookin' Up
Cookin' Up is a track featured on the album "Crime Pays," likely contributing to its gritty, street-oriented hip-hop sound.
-
E.
Peacock Pie
Peacock Pie is a celebrated collection of whimsical and imaginative children's poems by English writer Walter de la Mare.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9c7cac8190ba900df95e42e318 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0d00d46c8190b6289a9b8511a8fb |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe17e255408190b1155c06854715ea |
completed | May 8, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1865a1d8819085d62375ab6cccfe |
completed | May 8, 2026, 5:07 p.m. |
Created at: April 10, 2026, 1:31 a.m.