Triple
T15909436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ana Gasteyer |
E385806
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
American Auto
American Auto is a workplace comedy television series that satirizes corporate culture at a Detroit automobile company.
|
E1183740
|
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: American Auto | Statement: [Ana Gasteyer, notableWork, American Auto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: American Auto Context triple: [Ana Gasteyer, notableWork, American Auto]
-
A.
The Ford
The Ford is a small hamlet within the civil parish of Little Hadham in Hertfordshire, England.
-
B.
Ford
Ford is a small village in Argyll and Bute, western Scotland, known for its scenic location near Loch Awe and its historic rural character.
-
C.
Ford
Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
-
D.
Ford
Ford is a town in the Metropolitan Borough of Sefton, Merseyside, England, forming part of the northern suburbs of Liverpool.
-
E.
Ford
Ford is a small village in the Arun District of West Sussex, England, known for its rural character and nearby railway station.
- 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: American Auto Triple: [Ana Gasteyer, notableWork, American Auto]
Generated description
American Auto is a workplace comedy television series that satirizes corporate culture at a Detroit automobile company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: American Auto Target entity description: American Auto is a workplace comedy television series that satirizes corporate culture at a Detroit automobile company.
-
A.
The Ford
The Ford is a small hamlet within the civil parish of Little Hadham in Hertfordshire, England.
-
B.
Ford
Ford is a town in the Metropolitan Borough of Sefton, Merseyside, England, forming part of the northern suburbs of Liverpool.
-
C.
Ford
Ford is a small village in Argyll and Bute, western Scotland, known for its scenic location near Loch Awe and its historic rural character.
-
D.
Ford
Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
-
E.
Ford
Ford is a small village in the Arun District of West Sussex, England, known for its rural character and nearby railway station.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565d2f048190a40379ceae00411a |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb05750ac81908860143f4ca26cc7 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb110a5b88190904f763057e8eb1e |
completed | May 9, 2026, 10:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb1a5e9b88190b790c81b9500c2ac |
completed | May 9, 2026, 10:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.