Triple
T17231479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haida art |
E418250
|
entity |
| Predicate | hasNotableArtist |
P2487
|
FINISHED |
| Object |
Freda Diesing
Freda Diesing was a pioneering Haida artist and master carver renowned for helping revive and teach Northwest Coast Indigenous art traditions in Canada.
|
E1259544
|
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: Freda Diesing | Statement: [Haida art, hasNotableArtist, Freda Diesing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freda Diesing Context triple: [Haida art, hasNotableArtist, Freda Diesing]
-
A.
Freda Miller
Freda Miller is known primarily as the former spouse of American television and radio host Larry King.
-
B.
Frieda Phillips
Frieda Phillips was the wife of New Zealand economist A. W. Phillips, known for the Phillips curve in macroeconomics.
-
C.
Dolores Fuller
Dolores Fuller was an American actress, songwriter, and longtime muse and partner of cult filmmaker Ed Wood, known for her roles in his low-budget films and for writing songs recorded by Elvis Presley.
-
D.
Sylvia Dale
Sylvia Dale is best known as the former wife of prominent American attorney Johnnie Cochran.
-
E.
Dorothy Shaw
Dorothy Shaw is the witty, down-to-earth brunette showgirl and best friend of Lorelei Lee in the musical comedy "Gentlemen Prefer Blondes."
- 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: Freda Diesing Triple: [Haida art, hasNotableArtist, Freda Diesing]
Generated description
Freda Diesing was a pioneering Haida artist and master carver renowned for helping revive and teach Northwest Coast Indigenous art traditions in Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freda Diesing Target entity description: Freda Diesing was a pioneering Haida artist and master carver renowned for helping revive and teach Northwest Coast Indigenous art traditions in Canada.
-
A.
Freda Miller
Freda Miller is known primarily as the former spouse of American television and radio host Larry King.
-
B.
Frieda Phillips
Frieda Phillips was the wife of New Zealand economist A. W. Phillips, known for the Phillips curve in macroeconomics.
-
C.
Dolores Fuller
Dolores Fuller was an American actress, songwriter, and longtime muse and partner of cult filmmaker Ed Wood, known for her roles in his low-budget films and for writing songs recorded by Elvis Presley.
-
D.
Sylvia Dale
Sylvia Dale is best known as the former wife of prominent American attorney Johnnie Cochran.
-
E.
Dorothy Shaw
Dorothy Shaw is the witty, down-to-earth brunette showgirl and best friend of Lorelei Lee in the musical comedy "Gentlemen Prefer Blondes."
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42df7da748190a3a1762a67eb871b |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170ef3110819097ac1346ae33ef94 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a017351db88819097bfbec41920a488 |
completed | May 11, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0175f8c7d48190896f375385829a34 |
completed | May 11, 2026, 6:23 a.m. |
Created at: April 10, 2026, 5:39 a.m.