Triple
T6788776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funny You Should Ask |
E155879
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Scott Satin
Scott Satin is a television producer and writer best known for creating and producing comedy and game show programs in the United States.
|
E620806
|
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: Scott Satin | Statement: [Funny You Should Ask, creator, Scott Satin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Satin Context triple: [Funny You Should Ask, creator, Scott Satin]
-
A.
Guy Gardner
Guy Gardner is a brash and headstrong member of DC Comics' Green Lantern Corps, known for his bold personality and frequent clashes with both allies and enemies.
-
B.
Hal Foster
Hal Foster was a pioneering Canadian-American comic strip artist best known for creating and illustrating the influential adventure strip "Prince Valiant."
-
C.
Bendis
Bendis is a Thracian goddess associated with the moon, hunting, and the wild, later identified with the Greek Artemis.
-
D.
Adam Holender
Adam Holender is a Polish-born American cinematographer best known for shooting the influential 1969 film "Midnight Cowboy."
-
E.
Cletus
Cletus is traditionally regarded as one of the early popes of the Catholic Church, venerated as a saint in Christian liturgy.
- 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: Scott Satin Triple: [Funny You Should Ask, creator, Scott Satin]
Generated description
Scott Satin is a television producer and writer best known for creating and producing comedy and game show programs in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scott Satin Target entity description: Scott Satin is a television producer and writer best known for creating and producing comedy and game show programs in the United States.
-
A.
Guy Gardner
Guy Gardner is a brash and headstrong member of DC Comics' Green Lantern Corps, known for his bold personality and frequent clashes with both allies and enemies.
-
B.
Jimi Simmons
Jimi Simmons is a Native American activist known for his involvement in Indigenous rights and prison reform movements in the United States.
-
C.
Hal Foster
Hal Foster was a pioneering Canadian-American comic strip artist best known for creating and illustrating the influential adventure strip "Prince Valiant."
-
D.
Bendis
Bendis is a Thracian goddess associated with the moon, hunting, and the wild, later identified with the Greek Artemis.
-
E.
Adam Holender
Adam Holender is a Polish-born American cinematographer best known for shooting the influential 1969 film "Midnight Cowboy."
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2aa2e0c8190b994261826ae001d |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8998408190b741417ce6f21f55 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71e2ad0b08190a24f8865b8074b35 |
completed | March 28, 2026, 12:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71e9ec7148190a5f1df4951990f64 |
completed | March 28, 2026, 12:19 a.m. |
Created at: March 27, 2026, 2:14 p.m.