Triple
T6711652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Segel |
E153158
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Segel
Segel is the surname of American actor, comedian, and screenwriter Jason Segel, known for his roles in "How I Met Your Mother" and various Judd Apatow–produced films.
|
E613090
|
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: Segel | Statement: [Jason Segel, familyName, Segel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Segel Context triple: [Jason Segel, familyName, Segel]
-
A.
Seiling
Seiling is a small rural city in Dewey County, northwestern Oklahoma, known historically as a farming and ranching community.
-
B.
Sail Kampen
Sail Kampen is a major Dutch maritime festival featuring historic sailing ships, nautical demonstrations, and cultural activities along the IJssel River in the city of Kampen.
-
C.
Spinnaker
Spinnaker is a prominent sail-shaped observation tower and landmark located on the waterfront in Portsmouth, England.
-
D.
Nautica
Nautica is an American lifestyle brand best known for its nautical-inspired apparel and accessories.
-
E.
Seabreeze
Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
- 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: Segel Triple: [Jason Segel, familyName, Segel]
Generated description
Segel is the surname of American actor, comedian, and screenwriter Jason Segel, known for his roles in "How I Met Your Mother" and various Judd Apatow–produced films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Segel Target entity description: Segel is the surname of American actor, comedian, and screenwriter Jason Segel, known for his roles in "How I Met Your Mother" and various Judd Apatow–produced films.
-
A.
Seiling
Seiling is a small rural city in Dewey County, northwestern Oklahoma, known historically as a farming and ranching community.
-
B.
Sail Kampen
Sail Kampen is a major Dutch maritime festival featuring historic sailing ships, nautical demonstrations, and cultural activities along the IJssel River in the city of Kampen.
-
C.
Spinnaker
Spinnaker is a prominent sail-shaped observation tower and landmark located on the waterfront in Portsmouth, England.
-
D.
Nautica
Nautica is an American lifestyle brand best known for its nautical-inspired apparel and accessories.
-
E.
Seabreeze
Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d108acc08190b38b43161d8912b9 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700924fdc8190990187fbc1b3ab20 |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c70386196c81909d46894f783ef87a |
completed | March 27, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7045cda0481908982c7c7e8dc11e5 |
completed | March 27, 2026, 10:27 p.m. |
Created at: March 27, 2026, 2:06 p.m.