Triple
T14637724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | At Any Price |
E343648
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Brian O’Shea
Brian O’Shea is a film producer known for his work on the drama feature "At Any Price."
|
E1225230
|
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: Brian O’Shea | Statement: [At Any Price, producer, Brian O’Shea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian O’Shea Context triple: [At Any Price, producer, Brian O’Shea]
-
A.
Michael O'Shea
Michael O'Shea was an American film and television actor active in the mid-20th century, known for roles in movies such as "The Eve of St. Mark" and "Jack London."
-
B.
Mark O’Connor
Mark O’Connor is an American violinist, composer, and fiddler renowned for blending classical, jazz, and American folk traditions, particularly in contemporary string music.
-
C.
Mark O’Connor
Mark O’Connor is a cinematographer known for his work on documentary and feature films, including the 2015 documentary "This Changes Everything."
-
D.
Greg O’Connor
Greg O’Connor is a film producer known for his work on crime and drama features, including the 2008 police drama "Pride and Glory."
-
E.
Kevin Corrigan
Kevin Corrigan is an American character actor known for his offbeat, often darkly comic supporting roles in numerous independent films and major studio movies.
- 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: Brian O’Shea Triple: [At Any Price, producer, Brian O’Shea]
Generated description
Brian O’Shea is a film producer known for his work on the drama feature "At Any Price."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian O’Shea Target entity description: Brian O’Shea is a film producer known for his work on the drama feature "At Any Price."
-
A.
Michael O'Shea
Michael O'Shea was an American film and television actor active in the mid-20th century, known for roles in movies such as "The Eve of St. Mark" and "Jack London."
-
B.
Mark O’Connor
Mark O’Connor is a cinematographer known for his work on documentary and feature films, including the 2015 documentary "This Changes Everything."
-
C.
Mark O’Connor
Mark O’Connor is an American violinist, composer, and fiddler renowned for blending classical, jazz, and American folk traditions, particularly in contemporary string music.
-
D.
Greg O’Connor
Greg O’Connor is a film producer known for his work on crime and drama features, including the 2008 police drama "Pride and Glory."
-
E.
Kevin Corrigan
Kevin Corrigan is an American character actor known for his offbeat, often darkly comic supporting roles in numerous independent films and major studio movies.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aca6448190adf1042dfbfef716 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084a4c2cc81908c8acd3a1123208a |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a008568d2e88190a3757c7d48fa464b |
completed | May 10, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0085d27d188190a13ba94c6a642dde |
completed | May 10, 2026, 1:19 p.m. |
Created at: April 10, 2026, 1:26 a.m.