Triple
T10235588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nan White |
E243453
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Mike Green
Mike Green is a relatively obscure individual known primarily through a spatial or contextual association with Nan White.
|
E851539
|
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 Green | Statement: [Nan White, adjacentTo, Mike Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Green Context triple: [Nan White, adjacentTo, Mike Green]
-
A.
Mike Preston
Mike Preston is a character known for appearing alongside Jacob King, likely within a shared narrative such as a film, television series, or other fictional work.
-
B.
Scott Green
Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
-
C.
Scott Green
Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
-
D.
Mike Malloy
Mike Malloy is a progressive American radio talk show host known for his outspoken, left-leaning political commentary and work on various liberal talk radio networks.
-
E.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
- 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 Green Triple: [Nan White, adjacentTo, Mike Green]
Generated description
Mike Green is a relatively obscure individual known primarily through a spatial or contextual association with Nan White.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Green Target entity description: Mike Green is a relatively obscure individual known primarily through a spatial or contextual association with Nan White.
-
A.
Mike Preston
Mike Preston is a character known for appearing alongside Jacob King, likely within a shared narrative such as a film, television series, or other fictional work.
-
B.
Scott Green
Scott Green is a former National Football League official best known for serving as a referee in multiple Super Bowls.
-
C.
Scott Green
Scott Green is an American higher-education administrator and business executive who serves as president of the University of Idaho.
-
D.
Mike Malloy
Mike Malloy is a progressive American radio talk show host known for his outspoken, left-leaning political commentary and work on various liberal talk radio networks.
-
E.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
- 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.