Triple
T11899850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takeaway |
E283120
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Nicholas Miller
Nicholas Miller is a writer known for contributing content to the media outlet Takeaway.
|
E953612
|
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: Nicholas Miller | Statement: [Takeaway, writer, Nicholas Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Miller Context triple: [Takeaway, writer, Nicholas Miller]
-
A.
Nicholas Heath
Nicholas Heath was an English clergyman and statesman who served as Archbishop of York and Lord Chancellor under Queen Mary I during the 16th century.
-
B.
Nicholas Hughes
Nicholas Hughes was the son of poets Sylvia Plath and Ted Hughes, who became a respected fisheries biologist before his tragic death in 2009.
-
C.
Nicholas Hunt
Nicholas Hunt is a British figure best known as the father of UK Conservative politician and former Foreign Secretary Jeremy Hunt.
-
D.
Nicholas Hannen
Nicholas Hannen was a British stage and film actor known for his classical performances, including roles in mid-20th-century Shakespearean adaptations.
-
E.
Nicholas Martin
Nicholas Martin is a British screenwriter and playwright best known for writing the film "Florence Foster Jenkins."
- 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: Nicholas Miller Triple: [Takeaway, writer, Nicholas Miller]
Generated description
Nicholas Miller is a writer known for contributing content to the media outlet Takeaway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicholas Miller Target entity description: Nicholas Miller is a writer known for contributing content to the media outlet Takeaway.
-
A.
Nicholas Heath
Nicholas Heath was an English clergyman and statesman who served as Archbishop of York and Lord Chancellor under Queen Mary I during the 16th century.
-
B.
Nicholas Hughes
Nicholas Hughes was the son of poets Sylvia Plath and Ted Hughes, who became a respected fisheries biologist before his tragic death in 2009.
-
C.
Nicholas Hunt
Nicholas Hunt is a British figure best known as the father of UK Conservative politician and former Foreign Secretary Jeremy Hunt.
-
D.
Nicholas Hannen
Nicholas Hannen was a British stage and film actor known for his classical performances, including roles in mid-20th-century Shakespearean adaptations.
-
E.
Nicholas Martin
Nicholas Martin is a British screenwriter and playwright best known for writing the film "Florence Foster Jenkins."
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd16433881909befca9774bdaab4 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4182f18c08190b22706b024d60dd7 |
completed | May 1, 2026, 3:04 a.m. |
| NEDg | Description generation | batch_69f41f1c21388190b6ecb0fd602abb7d |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4228a73708190a6d2db321e175921 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.