Triple
T12959014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyler Hoechlin |
E310087
|
entity |
| Predicate | film |
P9968
|
FINISHED |
| Object | Palm Springs |
E769954
|
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: Palm Springs | Statement: [Tyler Hoechlin, film, Palm Springs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palm Springs Context triple: [Tyler Hoechlin, film, Palm Springs]
-
A.
Palm Springs
Palm Springs is a desert resort city in Southern California known for its mid-century modern architecture, hot springs, golf courses, and tourism.
-
B.
Palm Springs
chosen
Palm Springs is a 2020 American science-fiction romantic comedy film known for its time-loop premise and starring Andy Samberg and Cristin Milioti.
-
C.
Palm Desert
Palm Desert is a resort city in Southern California known for its golf courses, upscale shopping, and desert landscapes.
-
D.
Rancho Mirage
Rancho Mirage is an affluent resort city in Southern California known for its golf courses, luxury hotels, and desert climate.
-
E.
Santa Ana
Santa Ana is a major city in Orange County, California, known as a dense urban and governmental center within the Greater Los Angeles metropolitan area.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2e44908190bb8b43fc5c3b8a8a |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eacea664819096940ba4d409d264 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 5:44 p.m.