Triple
T5235193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wise |
E118203
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Raymond Wise
Raymond Wise is a name shared by multiple individuals, most notably an American actor recognized for his roles in film and television.
|
E510621
|
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 Wise | Statement: [Wise, hasNotableBearer, Raymond Wise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raymond Wise Context triple: [Wise, hasNotableBearer, Raymond Wise]
-
A.
Raymond Smith
Raymond Smith is a character known for being linked to the medical condition of dry eye.
-
B.
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.
-
C.
Raymond Doan
Raymond Doan was one of the lesser-known husbands of American socialite and Woolworth heiress Barbara Hutton.
-
D.
Raymond Paine
Raymond Paine is a fictional burlesque performer and comic character featured in the film "The Night They Raided Minsky's."
-
E.
Joseph Wightman
Joseph Wightman was a British Army officer best known for commanding government forces against the Jacobites during the early 18th-century uprisings.
- 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 Wise Triple: [Wise, hasNotableBearer, Raymond Wise]
Generated description
Raymond Wise is a name shared by multiple individuals, most notably an American actor recognized for his roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raymond Wise Target entity description: Raymond Wise is a name shared by multiple individuals, most notably an American actor recognized for his roles in film and television.
-
A.
Raymond Smith
Raymond Smith is a character known for being linked to the medical condition of dry eye.
-
B.
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.
-
C.
Raymond Doan
Raymond Doan was one of the lesser-known husbands of American socialite and Woolworth heiress Barbara Hutton.
-
D.
Raymond Paine
Raymond Paine is a fictional burlesque performer and comic character featured in the film "The Night They Raided Minsky's."
-
E.
Joseph Wightman
Joseph Wightman was a British Army officer best known for commanding government forces against the Jacobites during the early 18th-century uprisings.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b064b6881909f5746f55aa422c6 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10ca0a1c8190a3cc0537886281e5 |
completed | March 21, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_69bf1280a8e08190a99d20e50b468afb |
completed | March 21, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf12e32f248190977820dd1220db22 |
completed | March 21, 2026, 9:51 p.m. |
Created at: March 20, 2026, 1:49 p.m.