Triple
T19634408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Katt |
E471352
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Ralph Hanley
Ralph Hanley is the main character from the 1980s TV series "The Greatest American Hero," a reluctant superhero who gains a powerful but instruction-less alien suit.
|
E1406543
|
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: Ralph Hanley | Statement: [William Katt, playedCharacter, Ralph Hanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Hanley Context triple: [William Katt, playedCharacter, Ralph Hanley]
-
A.
Ralph Hanan
Ralph Hanan was a prominent mid-20th-century New Zealand National Party politician who held several key cabinet posts and was influential in legal and social reforms.
-
B.
Maurice Hannigan
Maurice Hannigan is a former law enforcement official best known for serving as Commissioner of the California Highway Patrol.
-
C.
John Healy
John Healy is a musician known for being a member of the Irish-American band O'Malley's March.
-
D.
John Killoran
John Killoran is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
E.
John Cahill
John Cahill is a name shared by several notable individuals, including figures in politics, law, and sports.
- 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: Ralph Hanley Triple: [William Katt, playedCharacter, Ralph Hanley]
Generated description
Ralph Hanley is the main character from the 1980s TV series "The Greatest American Hero," a reluctant superhero who gains a powerful but instruction-less alien suit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ralph Hanley Target entity description: Ralph Hanley is the main character from the 1980s TV series "The Greatest American Hero," a reluctant superhero who gains a powerful but instruction-less alien suit.
-
A.
Ralph Hanan
Ralph Hanan was a prominent mid-20th-century New Zealand National Party politician who held several key cabinet posts and was influential in legal and social reforms.
-
B.
Maurice Hannigan
Maurice Hannigan is a former law enforcement official best known for serving as Commissioner of the California Highway Patrol.
-
C.
John Healy
John Healy is a musician known for being a member of the Irish-American band O'Malley's March.
-
D.
John Killoran
John Killoran is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
E.
John Cahill
John Cahill is a name shared by several notable individuals, including figures in politics, law, and sports.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64104ff2881908fec49b7fba5a2e6 |
completed | April 20, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e0c9fd48190bcb1f78fe4894d56 |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080eb8c4b48190b60b9ec2b8aed182 |
completed | May 16, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080f2b2a4881909bd514080858301e |
completed | May 16, 2026, 6:31 a.m. |
Created at: April 10, 2026, 1:44 p.m.