Triple
T10811986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Tickets to London |
E255124
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Alan Curtis
Alan Curtis was an American film and television actor active in the mid-20th century, known for his roles in crime dramas and war films.
|
E887441
|
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: Alan Curtis | Statement: [Two Tickets to London, castMember, Alan Curtis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Curtis Context triple: [Two Tickets to London, castMember, Alan Curtis]
-
A.
Nellee Hooper
Nellee Hooper is a British record producer and remixer known for his influential work with artists such as U2, Björk, Massive Attack, and Madonna.
-
B.
Terry Gilkyson
Terry Gilkyson was an American folk singer and songwriter best known for penning classic Disney songs, including "The Bare Necessities" from The Jungle Book.
-
C.
Allan Felder
Allan Felder was an American songwriter and producer best known for his work in 1970s soul and R&B, particularly with the Philadelphia soul sound.
-
D.
James Coryell
James Coryell was a Texas frontiersman and early settler whose legacy is commemorated by having Coryell County, Texas, named in his honor.
-
E.
Gene Lyons
Gene Lyons was an American character actor best known for his television work in the 1950s and 1960s.
- 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: Alan Curtis Triple: [Two Tickets to London, castMember, Alan Curtis]
Generated description
Alan Curtis was an American film and television actor active in the mid-20th century, known for his roles in crime dramas and war films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alan Curtis Target entity description: Alan Curtis was an American film and television actor active in the mid-20th century, known for his roles in crime dramas and war films.
-
A.
Nellee Hooper
Nellee Hooper is a British record producer and remixer known for his influential work with artists such as U2, Björk, Massive Attack, and Madonna.
-
B.
Terry Gilkyson
Terry Gilkyson was an American folk singer and songwriter best known for penning classic Disney songs, including "The Bare Necessities" from The Jungle Book.
-
C.
Allan Felder
Allan Felder was an American songwriter and producer best known for his work in 1970s soul and R&B, particularly with the Philadelphia soul sound.
-
D.
James Coryell
James Coryell was a Texas frontiersman and early settler whose legacy is commemorated by having Coryell County, Texas, named in his honor.
-
E.
Gene Lyons
Gene Lyons was an American character actor best known for his television work in the 1950s and 1960s.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eadda48190b2b1183ee60102cb |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de853692f08190914cbeaf1a558730 |
completed | April 14, 2026, 6:19 p.m. |
| NEDg | Description generation | batch_69de8954500c81909b57c4f8007959aa |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f38e3048190b1acc81bb56fe165 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:18 p.m.