Triple
T11464870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Show People |
E271753
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Harry Gribbon
Harry Gribbon was an American vaudeville and film comedian best known for his slapstick roles in silent and early sound comedies.
|
E927920
|
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: Harry Gribbon | Statement: [Show People, starred, Harry Gribbon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Gribbon Context triple: [Show People, starred, Harry Gribbon]
-
A.
Harry Rigby
Harry Rigby was an American theatrical producer best known for his work on Broadway musical revivals in the mid-20th century.
-
B.
Henry Biggs
Henry Biggs is a central character in the film "The Preacher's Wife," portrayed as a devoted pastor whose strained marriage and crisis of faith draw the attention of a visiting angel.
-
C.
Mac Wilkins
Mac Wilkins is an American discus thrower and Olympic gold medalist renowned for setting multiple world records in the 1970s.
-
D.
George Grisby
George Grisby is a scheming, unhinged lawyer’s partner who lures the protagonist into a murderous plot in Orson Welles’s film noir *The Lady from Shanghai*.
-
E.
Hugh Stubbins
Hugh Stubbins was an American architect known for designing prominent modernist buildings such as the Citicorp Center in New York City.
- 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: Harry Gribbon Triple: [Show People, starred, Harry Gribbon]
Generated description
Harry Gribbon was an American vaudeville and film comedian best known for his slapstick roles in silent and early sound comedies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Gribbon Target entity description: Harry Gribbon was an American vaudeville and film comedian best known for his slapstick roles in silent and early sound comedies.
-
A.
Harry Rigby
Harry Rigby was an American theatrical producer best known for his work on Broadway musical revivals in the mid-20th century.
-
B.
Henry Biggs
Henry Biggs is a central character in the film "The Preacher's Wife," portrayed as a devoted pastor whose strained marriage and crisis of faith draw the attention of a visiting angel.
-
C.
Mac Wilkins
Mac Wilkins is an American discus thrower and Olympic gold medalist renowned for setting multiple world records in the 1970s.
-
D.
George Grisby
George Grisby is a scheming, unhinged lawyer’s partner who lures the protagonist into a murderous plot in Orson Welles’s film noir *The Lady from Shanghai*.
-
E.
Hugh Stubbins
Hugh Stubbins was an American architect known for designing prominent modernist buildings such as the Citicorp Center in New York City.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e9377ff4819096971a77e0181eaf |
completed | April 20, 2026, 8:52 a.m. |
| NEDg | Description generation | batch_69e5f1593c2c8190885f80ad5eeba3ec |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f87bbd988190ac388a3c34b2e95a |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.