Triple
T9015769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pride and Glory |
E215589
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
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."
|
E796997
|
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: Greg O’Connor | Statement: [Pride and Glory, producer, Greg O’Connor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg O’Connor Context triple: [Pride and Glory, producer, Greg O’Connor]
-
A.
Jay O’Connor
Jay O’Connor is a child of John Jay O’Connor III, the husband of former U.S. Supreme Court Justice Sandra Day O’Connor.
-
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.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
D.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
-
E.
Graham O'Brien
Graham O'Brien is a companion of the Thirteenth Doctor in the long-running British science fiction television series Doctor Who.
- 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: Greg O’Connor Triple: [Pride and Glory, producer, Greg O’Connor]
Generated description
Greg O’Connor is a film producer known for his work on crime and drama features, including the 2008 police drama "Pride and Glory."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greg O’Connor Target entity description: Greg O’Connor is a film producer known for his work on crime and drama features, including the 2008 police drama "Pride and Glory."
-
A.
Jay O’Connor
Jay O’Connor is a child of John Jay O’Connor III, the husband of former U.S. Supreme Court Justice Sandra Day O’Connor.
-
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.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
D.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
-
E.
Graham O'Brien
Graham O'Brien is a companion of the Thirteenth Doctor in the long-running British science fiction television series Doctor Who.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69fc0e4c819080b60456375f94cd |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d10776e8e88190a4433e42a3b55f38 |
completed | April 4, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69d10811d6c88190ba342772245a7947 |
completed | April 4, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108708a988190b6fb571ae689cbf2 |
completed | April 4, 2026, 12:47 p.m. |
Created at: March 30, 2026, 7:06 p.m.