Triple
T10235589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nan White |
E243453
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Mike Red
Mike Red is an entity or location known primarily for its spatial proximity to Nan White.
|
E851540
|
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: Mike Red | Statement: [Nan White, adjacentTo, Mike Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Red Context triple: [Nan White, adjacentTo, Mike Red]
-
A.
Mike Alexander
Mike Alexander is an American stock car racing driver best known for his involvement with NASCAR and association with the famed Alabama Gang.
-
B.
Gene Redd
Gene Redd was an American songwriter and record producer known for his work in R&B and soul music, including co-writing the holiday classic "Please Come Home for Christmas."
-
C.
Mike Spencer
Mike Spencer is a British music producer known for his work on hit records across pop and rock genres.
-
D.
Mark Redhead
Mark Redhead is a British television and film producer known for his work on acclaimed dramas and biographical films.
-
E.
Mike Wheeler
Mike Wheeler is a central character in the sci-fi horror series "Stranger Things," known as a loyal, determined member of the core friend group who helps confront supernatural threats in the town of Hawkins.
- 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: Mike Red Triple: [Nan White, adjacentTo, Mike Red]
Generated description
Mike Red is an entity or location known primarily for its spatial proximity to Nan White.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Red Target entity description: Mike Red is an entity or location known primarily for its spatial proximity to Nan White.
-
A.
Mike Alexander
Mike Alexander is an American stock car racing driver best known for his involvement with NASCAR and association with the famed Alabama Gang.
-
B.
Gene Redd
Gene Redd was an American songwriter and record producer known for his work in R&B and soul music, including co-writing the holiday classic "Please Come Home for Christmas."
-
C.
Mike Spencer
Mike Spencer is a British music producer known for his work on hit records across pop and rock genres.
-
D.
Mark Redhead
Mark Redhead is a British television and film producer known for his work on acclaimed dramas and biographical films.
-
E.
Mike Wheeler
Mike Wheeler is a central character in the sci-fi horror series "Stranger Things," known as a loyal, determined member of the core friend group who helps confront supernatural threats in the town of Hawkins.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d20de15c8190a81f3e9803fdfcd1 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f757b514819087f5d5f659c50c66 |
completed | April 9, 2026, 12:48 a.m. |
| NEDg | Description generation | batch_69d6fa2ea97081908395048218c0592b |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcb5dc4c8190944a423a9d16a4b8 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:22 a.m.