Triple
T18239850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shine a Light |
E436779
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Steve Bing
Steve Bing was an American film producer, financier, and philanthropist known for backing major Hollywood projects and high-profile political and charitable causes.
|
E1313564
|
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: Steve Bing | Statement: [Shine a Light, producer, Steve Bing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Bing Context triple: [Shine a Light, producer, Steve Bing]
-
A.
Jeff Bingham
Jeff Bingham is a sarcastic, sports-loving, and somewhat old-fashioned married man who serves as one of the central characters on the sitcom "Rules of Engagement."
-
B.
Tim Bessolo
Tim Bessolo is an individual recognized by the NCAA with its prestigious Award of Valor for extraordinary courage and heroism.
-
C.
Phil Brent
Phil Brent is a fictional character from the soap opera "All My Children," known for his complex family relationships and dramatic storylines.
-
D.
Brian Blosil
Brian Blosil is an American record producer and the former husband of entertainer Marie Osmond.
-
E.
Steve David
Steve David was a prolific Trinidadian forward best known for his goal-scoring exploits in the North American Soccer League during the 1970s.
- 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: Steve Bing Triple: [Shine a Light, producer, Steve Bing]
Generated description
Steve Bing was an American film producer, financier, and philanthropist known for backing major Hollywood projects and high-profile political and charitable causes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Bing Target entity description: Steve Bing was an American film producer, financier, and philanthropist known for backing major Hollywood projects and high-profile political and charitable causes.
-
A.
Jeff Bingham
Jeff Bingham is a sarcastic, sports-loving, and somewhat old-fashioned married man who serves as one of the central characters on the sitcom "Rules of Engagement."
-
B.
Tim Bessolo
Tim Bessolo is an individual recognized by the NCAA with its prestigious Award of Valor for extraordinary courage and heroism.
-
C.
Phil Brent
Phil Brent is a fictional character from the soap opera "All My Children," known for his complex family relationships and dramatic storylines.
-
D.
Brian Blosil
Brian Blosil is an American record producer and the former husband of entertainer Marie Osmond.
-
E.
Steve David
Steve David was a prolific Trinidadian forward best known for his goal-scoring exploits in the North American Soccer League during the 1970s.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e19d9881908d6a227528241e4a |
completed | April 19, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac6f730481908dc152cb5a61fbd2 |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ace9a6d48190ac0504903e08ba8b |
completed | May 12, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03ad7bd4708190904a316f87b80664 |
completed | May 12, 2026, 10:45 p.m. |
Created at: April 10, 2026, 10:33 a.m.