Triple
T9795624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little People |
E237709
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Johnny Catan
Johnny Catan is an actor known for his role in the television series "The Little People."
|
E822354
|
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: Johnny Catan | Statement: [The Little People, castMember, Johnny Catan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny Catan Context triple: [The Little People, castMember, Johnny Catan]
-
A.
Johnny Crale
Johnny Crale is the gunfighter antagonist in the 1958 Western film "Terror in a Texas Town," known for his menacing presence and role as a hired killer enforcing a corrupt land baron's will.
-
B.
John Zaccaro
John Zaccaro is an American real estate developer best known as the husband of the late U.S. Congresswoman and 1984 vice-presidential nominee Geraldine Ferraro.
-
C.
Jhonny
Jhonny is a person whose full name is Jhonny Carvajal.
-
D.
Charlie Cappa
Charlie Cappa is the conflicted small-time hood and devout yet morally torn protagonist of Martin Scorsese’s crime drama film "Mean Streets."
-
E.
Charlie Allnut
Charlie Allnut is the rough-edged but good-hearted Canadian boat captain from the classic film "The African Queen," known for his unlikely partnership and romance with a prim missionary during World War I.
- 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: Johnny Catan Triple: [The Little People, castMember, Johnny Catan]
Generated description
Johnny Catan is an actor known for his role in the television series "The Little People."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Johnny Catan Target entity description: Johnny Catan is an actor known for his role in the television series "The Little People."
-
A.
Johnny Crale
Johnny Crale is the gunfighter antagonist in the 1958 Western film "Terror in a Texas Town," known for his menacing presence and role as a hired killer enforcing a corrupt land baron's will.
-
B.
John Zaccaro
John Zaccaro is an American real estate developer best known as the husband of the late U.S. Congresswoman and 1984 vice-presidential nominee Geraldine Ferraro.
-
C.
Jhonny
Jhonny is a person whose full name is Jhonny Carvajal.
-
D.
Charlie Cappa
Charlie Cappa is the conflicted small-time hood and devout yet morally torn protagonist of Martin Scorsese’s crime drama film "Mean Streets."
-
E.
Charlie Allnut
Charlie Allnut is the rough-edged but good-hearted Canadian boat captain from the classic film "The African Queen," known for his unlikely partnership and romance with a prim missionary during World War I.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34916dc8190acef2ba003e56a33 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c43bccfc81909b940b180fe26626 |
completed | April 5, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69d1c5e6a2f881908666328ce72a95ed |
completed | April 5, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c68311008190b2d5b8a2fadfba69 |
completed | April 5, 2026, 2:18 a.m. |
Created at: March 30, 2026, 8:28 p.m.