Triple
T2438633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otis Redding |
E53220
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Tina Turner |
E50617
|
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: Tina Turner | Statement: [Otis Redding, influenced, Tina Turner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tina Turner Context triple: [Otis Redding, influenced, Tina Turner]
-
A.
Tina Turner
chosen
Tina Turner was an iconic American-born singer and electrifying performer, celebrated as the “Queen of Rock ’n’ Roll” for her powerful voice, dynamic stage presence, and enduring influence on popular music.
-
B.
Niki Turner
Niki Turner is a notable individual recognized for achievements significant enough to be associated with the surname Turner.
-
C.
Carla Thomas
Carla Thomas is an American soul singer, often called the "Queen of Memphis Soul," known for hits like "Gee Whiz (Look at His Eyes)" and her influential recordings with Stax Records.
-
D.
Diana Ross
Diana Ross is an iconic American singer and actress, best known as the lead vocalist of The Supremes and a defining figure of Motown and pop music.
-
E.
La La Anthony
La La Anthony is an American television personality and actress known for her roles in film and TV as well as her work as a host and producer.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f4d2dc8190b3c264a6c20d1bd5 |
completed | March 7, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0b0e920819088bd7ee3684c81fe |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:43 p.m.