Triple
T1678070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yesterday |
E36277
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Bernard Bellew
Bernard Bellew is a music producer known for his work on the song "Yesterday."
|
E190397
|
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: Bernard Bellew | Statement: [Yesterday, producer, Bernard Bellew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernard Bellew Context triple: [Yesterday, producer, Bernard Bellew]
-
A.
Leonard Woodcock
Leonard Woodcock was an American labor leader and diplomat who notably served as the first U.S. ambassador to the People’s Republic of China after the normalization of relations.
-
B.
Winston Hibler
Winston Hibler was an American screenwriter, producer, and narrator best known for his long association with Walt Disney Studios, where he contributed to classic animated features and nature documentaries.
-
C.
Felix de Weldon
Felix de Weldon was an Austrian-American sculptor best known for creating the iconic Iwo Jima flag-raising statue and numerous other public monuments.
-
D.
Ralph Dawson
Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
-
E.
Ernest Haller
Ernest Haller was an American cinematographer best known for his Academy Award-winning work on the classic film "Gone with the Wind."
- 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: Bernard Bellew Triple: [Yesterday, producer, Bernard Bellew]
Generated description
Bernard Bellew is a music producer known for his work on the song "Yesterday."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bernard Bellew Target entity description: Bernard Bellew is a music producer known for his work on the song "Yesterday."
-
A.
Leonard Woodcock
Leonard Woodcock was an American labor leader and diplomat who notably served as the first U.S. ambassador to the People’s Republic of China after the normalization of relations.
-
B.
Winston Hibler
Winston Hibler was an American screenwriter, producer, and narrator best known for his long association with Walt Disney Studios, where he contributed to classic animated features and nature documentaries.
-
C.
Felix de Weldon
Felix de Weldon was an Austrian-American sculptor best known for creating the iconic Iwo Jima flag-raising statue and numerous other public monuments.
-
D.
Ralph Dawson
Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
-
E.
Ernest Haller
Ernest Haller was an American cinematographer best known for his Academy Award-winning work on the classic film "Gone with the Wind."
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa625f7e1081909c3c4fe76625783a |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71ba4db08190a532fb334fd0cd23 |
completed | March 8, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_69ad73cfce488190b0ed6b85713281d3 |
completed | March 8, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad74401cbc8190bfaba1e9f32810bc |
completed | March 8, 2026, 1:06 p.m. |
Created at: March 4, 2026, 7:29 p.m.