Triple
T10390726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gray Man |
E244884
|
entity |
| Predicate | antagonistCharacter |
P18963
|
FINISHED |
| Object |
Lloyd Hansen
Lloyd Hansen is the ruthless and unhinged former CIA operative who serves as the primary villain in the action thriller film "The Gray Man."
|
E901775
|
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: Lloyd Hansen | Statement: [The Gray Man, antagonistCharacter, Lloyd Hansen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lloyd Hansen Context triple: [The Gray Man, antagonistCharacter, Lloyd Hansen]
-
A.
George Hansen
George Hansen is a fictional character from the 1958 Western film "Terror in a Texas Town."
-
B.
Larry Bryggman
Larry Bryggman is an American actor best known for his long-running role on the soap opera "As the World Turns" and various film and television appearances.
-
C.
Ole Hanson
Ole Hanson was an American real estate developer and former mayor of Seattle best known for envisioning and developing the master-planned coastal community of San Clemente, California.
-
D.
Ron Jensen
Ron Jensen is an American politician who has served as the mayor of Grand Prairie, Texas.
-
E.
Paul Henning
Paul Henning was an American television and film writer-producer best known for creating the classic sitcom "The Beverly Hillbillies" and shaping 1960s rural comedy on TV.
- 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: Lloyd Hansen Triple: [The Gray Man, antagonistCharacter, Lloyd Hansen]
Generated description
Lloyd Hansen is the ruthless and unhinged former CIA operative who serves as the primary villain in the action thriller film "The Gray Man."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lloyd Hansen Target entity description: Lloyd Hansen is the ruthless and unhinged former CIA operative who serves as the primary villain in the action thriller film "The Gray Man."
-
A.
George Hansen
George Hansen is a fictional character from the 1958 Western film "Terror in a Texas Town."
-
B.
Larry Bryggman
Larry Bryggman is an American actor best known for his long-running role on the soap opera "As the World Turns" and various film and television appearances.
-
C.
Ole Hanson
Ole Hanson was an American real estate developer and former mayor of Seattle best known for envisioning and developing the master-planned coastal community of San Clemente, California.
-
D.
Ron Jensen
Ron Jensen is an American politician who has served as the mayor of Grand Prairie, Texas.
-
E.
Paul Henning
Paul Henning was an American television and film writer-producer best known for creating the classic sitcom "The Beverly Hillbillies" and shaping 1960s rural comedy on TV.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b4f7d08190bcb16d3b4c8f22ad |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a8c95ca081908ceaa89eef87fbc9 |
completed | April 18, 2026, 3:52 p.m. |
| NEDg | Description generation | batch_69e3abe492388190a2f5752f6bad1220 |
completed | April 18, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b1efe4a88190884eb5186954cf39 |
completed | April 18, 2026, 4:31 p.m. |
Created at: April 6, 2026, 12:06 p.m.