Triple
T3819995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ransom |
E84348
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Brawley Nolte
Brawley Nolte is an American former child actor best known for his role in the 1996 thriller film "Ransom" alongside Mel Gibson.
|
E497309
|
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: Brawley Nolte | Statement: [Ransom, starring, Brawley Nolte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brawley Nolte Context triple: [Ransom, starring, Brawley Nolte]
-
A.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
B.
Frank Doelger
Frank Doelger is a television producer best known for his work on the acclaimed HBO fantasy series "Game of Thrones."
-
C.
Matt Firor
Matt Firor is a video game developer and executive best known for leading the creation of large-scale online role-playing games, including directing The Elder Scrolls Online.
-
D.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
-
E.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
- 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: Brawley Nolte Triple: [Ransom, starring, Brawley Nolte]
Generated description
Brawley Nolte is an American former child actor best known for his role in the 1996 thriller film "Ransom" alongside Mel Gibson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brawley Nolte Target entity description: Brawley Nolte is an American former child actor best known for his role in the 1996 thriller film "Ransom" alongside Mel Gibson.
-
A.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
B.
Frank Doelger
Frank Doelger is a television producer best known for his work on the acclaimed HBO fantasy series "Game of Thrones."
-
C.
Matt Firor
Matt Firor is a video game developer and executive best known for leading the creation of large-scale online role-playing games, including directing The Elder Scrolls Online.
-
D.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
-
E.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeea601d408190b09dc486e77488d4 |
completed | March 9, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becf8f926481908f6e1cf33fc79a04 |
completed | March 21, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_69bed09cf66481909f7aa65de3fce54d |
completed | March 21, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bed136a790819083ec5b8ae923fa3e |
completed | March 21, 2026, 5:11 p.m. |
Created at: March 9, 2026, 3:17 p.m.