Triple
T22791093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Ridenhour Courage Prize |
E564110
|
entity |
| Predicate | hasAwarded |
P2391
|
FINISHED |
| Object |
Sam Provance
Sam Provance is a former U.S. Army military intelligence soldier known for blowing the whistle on abuses at Abu Ghraib prison in Iraq.
|
E1554672
|
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: Sam Provance | Statement: [Ron Ridenhour Courage Prize, hasAwarded, Sam Provance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Provance Context triple: [Ron Ridenhour Courage Prize, hasAwarded, Sam Provance]
-
A.
Brian Probyn
Brian Probyn is a British cinematographer known for his work on films such as the 1969 drama "The Intruders."
-
B.
Colin Tate
Colin Tate is a character best known as the troubled, mind-controlled assassin protagonist in Brandon Cronenberg’s 2020 science fiction horror film "Possessor."
-
C.
Aidan Bristow
Aidan Bristow is an actor known for his work in independent films and genre projects, including the thriller "Conspiracy Theory."
-
D.
Mark Proctor
Mark Proctor is an individual known primarily as a graduate of Hillsborough High School.
-
E.
Colin Vaines
Colin Vaines is a British film producer and former Miramax and BBC executive known for working on prestige dramas and literary adaptations.
- 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: Sam Provance Triple: [Ron Ridenhour Courage Prize, hasAwarded, Sam Provance]
Generated description
Sam Provance is a former U.S. Army military intelligence soldier known for blowing the whistle on abuses at Abu Ghraib prison in Iraq.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Provance Target entity description: Sam Provance is a former U.S. Army military intelligence soldier known for blowing the whistle on abuses at Abu Ghraib prison in Iraq.
-
A.
Brian Probyn
Brian Probyn is a British cinematographer known for his work on films such as the 1969 drama "The Intruders."
-
B.
Colin Tate
Colin Tate is a character best known as the troubled, mind-controlled assassin protagonist in Brandon Cronenberg’s 2020 science fiction horror film "Possessor."
-
C.
Aidan Bristow
Aidan Bristow is an actor known for his work in independent films and genre projects, including the thriller "Conspiracy Theory."
-
D.
Mark Proctor
Mark Proctor is an individual known primarily as a graduate of Hillsborough High School.
-
E.
Colin Vaines
Colin Vaines is a British film producer and former Miramax and BBC executive known for working on prestige dramas and literary adaptations.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c3545fc819084af67cc25e94839 |
completed | April 29, 2026, 3:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e905b148190b319d88ca3e7ca8e |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0b9f0e73048190ac2e1ad53912dde5 |
completed | May 18, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9ff292b88190b1f318a8a801fbd1 |
completed | May 18, 2026, 11:25 p.m. |
Created at: April 17, 2026, 3:30 p.m.