Triple
T10494900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steadman |
E247511
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Raymond Steadman
Raymond Steadman is a person notable enough to be specifically identified as a bearer of the surname Steadman.
|
E899883
|
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: Raymond Steadman | Statement: [Steadman, hasNotableBearer, Raymond Steadman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raymond Steadman Context triple: [Steadman, hasNotableBearer, Raymond Steadman]
-
A.
Raymond Wheeler
Raymond Wheeler was a senior United States Army general who played a key leadership role in Allied operations in the China-Burma-India theater during World War II.
-
B.
Raymond Wise
Raymond Wise is a name shared by multiple individuals, most notably an American actor recognized for his roles in film and television.
-
C.
Raymond Smith
Raymond Smith is a character known for being linked to the medical condition of dry eye.
-
D.
Raymond Smith
Raymond Smith is a central figure in the crime film "The Gentlemen," serving as the right-hand man and trusted enforcer for marijuana kingpin Mickey Pearson.
-
E.
Raymond Walburn
Raymond Walburn was an American character actor known for his comedic and often pompous roles in Hollywood films of the 1930s and 1940s.
- 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: Raymond Steadman Triple: [Steadman, hasNotableBearer, Raymond Steadman]
Generated description
Raymond Steadman is a person notable enough to be specifically identified as a bearer of the surname Steadman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raymond Steadman Target entity description: Raymond Steadman is a person notable enough to be specifically identified as a bearer of the surname Steadman.
-
A.
Raymond Wheeler
Raymond Wheeler was a senior United States Army general who played a key leadership role in Allied operations in the China-Burma-India theater during World War II.
-
B.
Raymond Wise
Raymond Wise is a name shared by multiple individuals, most notably an American actor recognized for his roles in film and television.
-
C.
Raymond Smith
Raymond Smith is a character known for being linked to the medical condition of dry eye.
-
D.
Raymond Smith
Raymond Smith is a central figure in the crime film "The Gentlemen," serving as the right-hand man and trusted enforcer for marijuana kingpin Mickey Pearson.
-
E.
Raymond Walburn
Raymond Walburn was an American character actor known for his comedic and often pompous roles in Hollywood films of the 1930s and 1940s.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098be488819083d614f528cd82fb |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37382a0bc81908938b3cbdf0528e0 |
completed | April 18, 2026, 12:05 p.m. |
| NEDg | Description generation | batch_69e37ab6ca788190ac41f9494ad9a47f |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37c9439fc8190a69cfb1a13da4c19 |
completed | April 18, 2026, 12:44 p.m. |
Created at: April 6, 2026, 12:24 p.m.