Triple
T6530249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Call (2013 film) |
E152212
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Michael P. Flannigan
Michael P. Flannigan is a film producer best known for his work on the 2013 thriller "The Call."
|
E628743
|
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: Michael P. Flannigan | Statement: [The Call (2013 film), producer, Michael P. Flannigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael P. Flannigan Context triple: [The Call (2013 film), producer, Michael P. Flannigan]
-
A.
Timothy J. Geraghty
Timothy J. Geraghty is a retired U.S. Marine Corps general best known for commanding American forces during the Multinational Force in Lebanon deployment in the early 1980s.
-
B.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
C.
Jon A. McBride
Jon A. McBride is a former NASA astronaut and U.S. Navy captain who piloted the Space Shuttle Challenger on the STS-41-G mission.
-
D.
Michael H. Moloney
Michael H. Moloney is a physics-focused science policy and leadership professional who serves as the chief executive officer of the American Institute of Physics.
-
E.
Craig R. Baxley
Craig R. Baxley is an American film and television director and former stunt coordinator known for his work on high-octane action projects in the 1980s and 1990s.
- 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: Michael P. Flannigan Triple: [The Call (2013 film), producer, Michael P. Flannigan]
Generated description
Michael P. Flannigan is a film producer best known for his work on the 2013 thriller "The Call."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael P. Flannigan Target entity description: Michael P. Flannigan is a film producer best known for his work on the 2013 thriller "The Call."
-
A.
Timothy J. Geraghty
Timothy J. Geraghty is a retired U.S. Marine Corps general best known for commanding American forces during the Multinational Force in Lebanon deployment in the early 1980s.
-
B.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
C.
Jon A. McBride
Jon A. McBride is a former NASA astronaut and U.S. Navy captain who piloted the Space Shuttle Challenger on the STS-41-G mission.
-
D.
Michael H. Moloney
Michael H. Moloney is a physics-focused science policy and leadership professional who serves as the chief executive officer of the American Institute of Physics.
-
E.
Craig R. Baxley
Craig R. Baxley is an American film and television director and former stunt coordinator known for his work on high-octane action projects in the 1980s and 1990s.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adac53b0819097fece48a75cc48f |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75101ed10819083d0414fd8b6d86e |
completed | March 28, 2026, 3:54 a.m. |
| NEDg | Description generation | batch_69c752065b808190bf95333afb42b730 |
completed | March 28, 2026, 3:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7528ddd1c8190964a072741315afe |
completed | March 28, 2026, 4:01 a.m. |
Created at: March 27, 2026, 1:46 p.m.