Triple
T19412384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helm |
E485618
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Toby Helm
Toby Helm is a British political journalist known for his work as a correspondent and editor at major UK newspapers, including The Observer.
|
E1373542
|
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: Toby Helm | Statement: [Helm, hasNotableBearer, Toby Helm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toby Helm Context triple: [Helm, hasNotableBearer, Toby Helm]
-
A.
Cory Helms
Cory Helms is a screenwriter best known for co-writing the inspirational sports drama film "We Are Marshall."
-
B.
Tom Troupe
Tom Troupe is an American character actor known for his work in film, television, and theater since the mid-20th century.
-
C.
Johnny Harris
Johnny Harris is a British actor known for his intense, gritty performances in film and television dramas.
-
D.
Teddie Cochran
Teddie Cochran is the central character of the sitcom "The Geena Davis Show," portrayed as a successful, single career woman whose life changes when she becomes part of a ready-made family.
-
E.
Hoyt Axton
Hoyt Axton was an American folk and country singer-songwriter and actor known for his deep voice, storytelling lyrics, and writing hits such as "Joy to the World" and "Never Been to Spain."
- 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: Toby Helm Triple: [Helm, hasNotableBearer, Toby Helm]
Generated description
Toby Helm is a British political journalist known for his work as a correspondent and editor at major UK newspapers, including The Observer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toby Helm Target entity description: Toby Helm is a British political journalist known for his work as a correspondent and editor at major UK newspapers, including The Observer.
-
A.
Cory Helms
Cory Helms is a screenwriter best known for co-writing the inspirational sports drama film "We Are Marshall."
-
B.
Tom Troupe
Tom Troupe is an American character actor known for his work in film, television, and theater since the mid-20th century.
-
C.
Johnny Harris
Johnny Harris is a British actor known for his intense, gritty performances in film and television dramas.
-
D.
Teddie Cochran
Teddie Cochran is the central character of the sitcom "The Geena Davis Show," portrayed as a successful, single career woman whose life changes when she becomes part of a ready-made family.
-
E.
Hoyt Axton
Hoyt Axton was an American folk and country singer-songwriter and actor known for his deep voice, storytelling lyrics, and writing hits such as "Joy to the World" and "Never Been to Spain."
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af77eb481909fcfb6cdde1e8580 |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b9a6298819097489bc8a97877c9 |
completed | May 15, 2026, 2:20 p.m. |
| NEDg | Description generation | batch_6a072e59d3ec8190bca24039ec51a6c1 |
completed | May 15, 2026, 2:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072ec4c1988190be354a6210f2768e |
completed | May 15, 2026, 2:33 p.m. |
Created at: April 10, 2026, 1:37 p.m.