Triple
T13038688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Northam |
E326631
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Happy, Texas
Happy, Texas is a 1999 American comedy film about two escaped convicts who pose as gay beauty pageant organizers in a small Texas town.
|
E1026836
|
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: Happy, Texas | Statement: [Jeremy Northam, notableWork, Happy, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy, Texas Context triple: [Jeremy Northam, notableWork, Happy, Texas]
-
A.
Hutto, Texas
Hutto, Texas is a rapidly growing small city in Central Texas known for its family-friendly community and distinctive hippo-themed local culture.
-
B.
Whitehouse, Texas
Whitehouse, Texas is a small city in East Texas that functions primarily as a residential community within the greater Tyler metropolitan area.
-
C.
Hurst, Texas
Hurst, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and regional shopping centers.
-
D.
Henderson, Texas
Henderson, Texas is a small East Texas city that serves as the commercial and cultural hub of Rusk County.
-
E.
New Hope, Texas
New Hope, Texas is a small incorporated town in North Texas known for its rural residential character within the Dallas–Fort Worth metropolitan area.
- 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: Happy, Texas Triple: [Jeremy Northam, notableWork, Happy, Texas]
Generated description
Happy, Texas is a 1999 American comedy film about two escaped convicts who pose as gay beauty pageant organizers in a small Texas town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Happy, Texas Target entity description: Happy, Texas is a 1999 American comedy film about two escaped convicts who pose as gay beauty pageant organizers in a small Texas town.
-
A.
Hutto, Texas
Hutto, Texas is a rapidly growing small city in Central Texas known for its family-friendly community and distinctive hippo-themed local culture.
-
B.
Whitehouse, Texas
Whitehouse, Texas is a small city in East Texas that functions primarily as a residential community within the greater Tyler metropolitan area.
-
C.
Hurst, Texas
Hurst, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and regional shopping centers.
-
D.
Henderson, Texas
Henderson, Texas is a small East Texas city that serves as the commercial and cultural hub of Rusk County.
-
E.
New Hope, Texas
New Hope, Texas is a small incorporated town in North Texas known for its rural residential character within the Dallas–Fort Worth metropolitan area.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804d8e3081909584c93df099859a |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5c5155c8190b2c4e5bbcdaadc47 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f76ade3c8190b46655f104a1ceaa |
completed | May 3, 2026, 7:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f85149cc8190adf68387475d3286 |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 9, 2026, 8:55 p.m.