Triple
T14206560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purple Haze |
E352108
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Yogi |
E539374
|
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: Yogi | Statement: [Purple Haze, producer, Yogi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yogi Context triple: [Purple Haze, producer, Yogi]
-
A.
Yogi
Yogi is a 2007 Telugu-language action drama film starring Prabhas, known for its emotional mother-son storyline and mass-action elements.
-
B.
Yogi
Yogi is the famous nickname of Lawrence "Yogi" Berra, a legendary American baseball catcher, manager, and coach known for his success with the New York Yankees and his humorous, paradoxical quotes.
-
C.
Yogi
chosen
Yogi is a music producer known for contributing to the sound of Lil' Kim’s album "La Bella Mafia."
-
D.
Swami
Swami is a Hindu honorific title denoting a religious teacher or monk who has taken vows of renunciation and spiritual discipline.
-
E.
Swami
Swami is an Indian film written by Girish Karnad that explores complex human relationships and social realities.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f84f288190877116330bd54393 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd195301e88190a5ef034253275fb0 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.