Triple
T21164399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam Ferris |
E521520
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ferris
Ferris is a surname most notably associated with British actress Pam Ferris, known for her roles in film, television, and theatre.
|
E1469437
|
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: Ferris | Statement: [Pam Ferris, familyName, Ferris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferris Context triple: [Pam Ferris, familyName, Ferris]
-
A.
Ferris
Ferris is a small suburban city in the Dallas–Fort Worth metropolitan area in Texas.
-
B.
Giant Dipper
The Giant Dipper is a historic wooden roller coaster in Santa Cruz, California, renowned for its classic seaside amusement park thrills and landmark status.
-
C.
Fremont Troll
The Fremont Troll is a large, whimsical concrete sculpture of a troll clutching a real Volkswagen Beetle beneath the Aurora Bridge in Seattle’s Fremont neighborhood.
-
D.
Mosaic Big Ferris Wheel
Mosaic Big Ferris Wheel is a large, illuminated observation wheel and popular waterfront attraction in Kobe’s Harborland district, offering panoramic views of the city and harbor.
-
E.
Colossus Ferris wheel
The Colossus Ferris wheel is a giant observation wheel at Six Flags St. Louis that offers expansive aerial views of the park and surrounding 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: Ferris Triple: [Pam Ferris, familyName, Ferris]
Generated description
Ferris is a surname most notably associated with British actress Pam Ferris, known for her roles in film, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ferris Target entity description: Ferris is a surname most notably associated with British actress Pam Ferris, known for her roles in film, television, and theatre.
-
A.
Ferris
Ferris is a small suburban city in the Dallas–Fort Worth metropolitan area in Texas.
-
B.
Giant Dipper
The Giant Dipper is a historic wooden roller coaster in Santa Cruz, California, renowned for its classic seaside amusement park thrills and landmark status.
-
C.
Fremont Troll
The Fremont Troll is a large, whimsical concrete sculpture of a troll clutching a real Volkswagen Beetle beneath the Aurora Bridge in Seattle’s Fremont neighborhood.
-
D.
Mosaic Big Ferris Wheel
Mosaic Big Ferris Wheel is a large, illuminated observation wheel and popular waterfront attraction in Kobe’s Harborland district, offering panoramic views of the city and harbor.
-
E.
Colossus Ferris wheel
The Colossus Ferris wheel is a giant observation wheel at Six Flags St. Louis that offers expansive aerial views of the park and surrounding 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7270e15bc81908d609198e573040e |
completed | April 21, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a096dd1dfe081908e3fdb675c4fca94 |
completed | May 17, 2026, 7:27 a.m. |
| NEDg | Description generation | batch_6a096e4d8a3c819087103e7c1090ee52 |
completed | May 17, 2026, 7:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09724c35f881909d48c9dd212b3c12 |
completed | May 17, 2026, 7:46 a.m. |
Created at: April 16, 2026, 2:59 p.m.