Triple
T15312010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold (2016 film) |
E366059
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Kenny Wells
Kenny Wells is the ambitious, down-on-his-luck prospector portrayed by Matthew McConaughey in the adventure drama film "Gold."
|
E1150741
|
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: Kenny Wells | Statement: [Gold (2016 film), mainCharacter, Kenny Wells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenny Wells Context triple: [Gold (2016 film), mainCharacter, Kenny Wells]
-
A.
T. Graham Brown
T. Graham Brown was a Scottish physician, physiologist, and mountaineer known for his pioneering climbs in the Alps and Alaska, including early ascents of major peaks such as Mount Foraker.
-
B.
Kenny Brady
Kenny Brady is a musician best known as a member of the post-punk band The Fall.
-
C.
Kent Rogers
Kent Rogers was an American voice actor best known for his work in classic Warner Bros. cartoons during the 1940s.
-
D.
Randy Stripling
Randy Stripling is an American actor best known for his supporting role in the 1999 coming-of-age drama film "October Sky."
-
E.
Ronnie Shacklett
Ronnie Shacklett is best known as the longtime husband of American pop and country singer Brenda Lee, with whom he has shared a decades-long marriage.
- 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: Kenny Wells Triple: [Gold (2016 film), mainCharacter, Kenny Wells]
Generated description
Kenny Wells is the ambitious, down-on-his-luck prospector portrayed by Matthew McConaughey in the adventure drama film "Gold."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kenny Wells Target entity description: Kenny Wells is the ambitious, down-on-his-luck prospector portrayed by Matthew McConaughey in the adventure drama film "Gold."
-
A.
T. Graham Brown
T. Graham Brown was a Scottish physician, physiologist, and mountaineer known for his pioneering climbs in the Alps and Alaska, including early ascents of major peaks such as Mount Foraker.
-
B.
Kenny Brady
Kenny Brady is a musician best known as a member of the post-punk band The Fall.
-
C.
Kent Rogers
Kent Rogers was an American voice actor best known for his work in classic Warner Bros. cartoons during the 1940s.
-
D.
Randy Stripling
Randy Stripling is an American actor best known for his supporting role in the 1999 coming-of-age drama film "October Sky."
-
E.
Ronnie Shacklett
Ronnie Shacklett is best known as the longtime husband of American pop and country singer Brenda Lee, with whom he has shared a decades-long marriage.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a3da3881909b50cfbec0543adc |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefdb82b2081908084a12a58ad3477 |
completed | May 9, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefe6c42708190bd893885fc5bc88e |
completed | May 9, 2026, 9:29 a.m. |
Created at: April 10, 2026, 3:16 a.m.