Triple
T12376885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea Ranch |
E295145
|
entity |
| Predicate | hasLandscapeArchitect |
P19613
|
FINISHED |
| Object | Lawrence Halprin |
E551728
|
NE FINISHED |
How this triple was built (2 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: Lawrence Halprin | Statement: [Sea Ranch, hasLandscapeArchitect, Lawrence Halprin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrence Halprin Context triple: [Sea Ranch, hasLandscapeArchitect, Lawrence Halprin]
-
A.
Lawrence Halprin
chosen
Lawrence Halprin was a prominent American landscape architect known for his influential modernist public spaces and urban parks.
-
B.
Philip Halprin
Philip Halprin is a screenwriter best known for his work on the film "The In Crowd."
-
C.
Dan Kiley
Dan Kiley was a prominent American landscape architect known for his modernist designs that harmoniously integrated geometry, nature, and architecture in major public and private projects worldwide.
-
D.
Edward Larrabee Barnes
Edward Larrabee Barnes was an American modernist architect known for his refined, minimalist designs for major cultural and educational institutions.
-
E.
Arthur Erickson
Arthur Erickson was a renowned Canadian architect celebrated for his modernist designs that harmonize buildings with their surrounding landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fb8d6c081909e8bbbd52c73f29c |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634760210819080bc0261aa059132 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.