Triple
T5507956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacifica |
E144489
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object |
Linda Mar
Linda Mar is a coastal residential neighborhood in Pacifica, California, known for its popular surfing beach and scenic oceanfront setting.
|
E531551
|
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: Linda Mar | Statement: [Pacifica, hasNeighborhood, Linda Mar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Mar Context triple: [Pacifica, hasNeighborhood, Linda Mar]
-
A.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
B.
Linda Gunderson
Linda Gunderson is a kind-hearted Minnesota bookshop owner who becomes the human protagonist and caretaker of the rare macaw Blu in the animated film "Rio."
-
C.
Linda May
Linda May is a real-life modern nomad who appears as herself in the acclaimed film "Nomadland," representing the community of American van-dwellers and itinerant workers.
-
D.
Linda Banwell
Linda Banwell is best known as the wife of the late English actor and director Bob Hoskins.
-
E.
Linda Anne Stamaton
Linda Anne Stamaton is the longtime wife of renowned American sportscaster Al Michaels, known for maintaining a private life largely outside the public spotlight.
- 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: Linda Mar Triple: [Pacifica, hasNeighborhood, Linda Mar]
Generated description
Linda Mar is a coastal residential neighborhood in Pacifica, California, known for its popular surfing beach and scenic oceanfront setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linda Mar Target entity description: Linda Mar is a coastal residential neighborhood in Pacifica, California, known for its popular surfing beach and scenic oceanfront setting.
-
A.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
B.
Linda Gunderson
Linda Gunderson is a kind-hearted Minnesota bookshop owner who becomes the human protagonist and caretaker of the rare macaw Blu in the animated film "Rio."
-
C.
Linda May
Linda May is a real-life modern nomad who appears as herself in the acclaimed film "Nomadland," representing the community of American van-dwellers and itinerant workers.
-
D.
Linda Banwell
Linda Banwell is best known as the wife of the late English actor and director Bob Hoskins.
-
E.
Linda Anne Stamaton
Linda Anne Stamaton is the longtime wife of renowned American sportscaster Al Michaels, known for maintaining a private life largely outside the public spotlight.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f495c588190b0cfe5bfb3d2c221 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027c082108190a3c8f826a6aeef4c |
completed | March 22, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c03c0ab1d8819094aeaac0a5b57bc8 |
completed | March 22, 2026, 6:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03cd550748190ab9718c510d2f0ca |
completed | March 22, 2026, 7:02 p.m. |
Created at: March 22, 2026, 3:33 p.m.