Triple
T16331354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crashing Towers |
E396559
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object |
Tex Cooper
Tex Cooper was an American character actor known for his numerous supporting roles in early 20th-century Western films.
|
E1210919
|
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: Tex Cooper | Statement: [Crashing Towers, featuresActor, Tex Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tex Cooper Context triple: [Crashing Towers, featuresActor, Tex Cooper]
-
A.
Earl Hood
Earl Hood is a motorsport journalist and writer known for his coverage and commentary on racing events and the automotive industry.
-
B.
Clyde Parker
Clyde Parker is a fictional character portrayed by American actor Jared Rushton, likely in a film or television production.
-
C.
Buddy Van Horn
Buddy Van Horn was an American stuntman, stunt coordinator, and film director best known for his long-time collaboration with Clint Eastwood on numerous action films.
-
D.
Ed Brophy
Ed Brophy is an American boxing historian and executive best known for creating and leading the International Boxing Hall of Fame in Canastota, New York.
-
E.
Don Baylor
Don Baylor was an American Major League Baseball slugger and later manager, renowned for his power hitting, durability, and leadership on and off the field.
- 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: Tex Cooper Triple: [Crashing Towers, featuresActor, Tex Cooper]
Generated description
Tex Cooper was an American character actor known for his numerous supporting roles in early 20th-century Western films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tex Cooper Target entity description: Tex Cooper was an American character actor known for his numerous supporting roles in early 20th-century Western films.
-
A.
Earl Hood
Earl Hood is a motorsport journalist and writer known for his coverage and commentary on racing events and the automotive industry.
-
B.
Clyde Parker
Clyde Parker is a fictional character portrayed by American actor Jared Rushton, likely in a film or television production.
-
C.
Buddy Van Horn
Buddy Van Horn was an American stuntman, stunt coordinator, and film director best known for his long-time collaboration with Clint Eastwood on numerous action films.
-
D.
Ed Brophy
Ed Brophy is an American boxing historian and executive best known for creating and leading the International Boxing Hall of Fame in Canastota, New York.
-
E.
Don Baylor
Don Baylor was an American Major League Baseball slugger and later manager, renowned for his power hitting, durability, and leadership on and off the field.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4dfd9688190a749e48ebc055baf |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003556630081909e60e378e97b06fb |
completed | May 10, 2026, 7:35 a.m. |
| NEDg | Description generation | batch_6a0036e07d2081908db03dcc133f8421 |
completed | May 10, 2026, 7:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00384f51d081909a5ab0630f82d173 |
completed | May 10, 2026, 7:48 a.m. |
Created at: April 10, 2026, 5:07 a.m.