Triple
T5505897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaToya London |
E144439
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | LaToya London |
E144439
|
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: LaToya London | Statement: [LaToya London, name, LaToya London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaToya London Context triple: [LaToya London, name, LaToya London]
-
A.
LaToya London
chosen
LaToya London is an American singer and actress who gained national recognition as a standout finalist on the third season of the television talent show American Idol.
-
B.
Lee Taylor
Lee Taylor is a fictional character appearing in the "Doctor X" universe.
-
C.
Tracey Childs
Tracey Childs is a British actress known for her work in television, theatre, and film, including period dramas and popular UK series.
-
D.
Célestine Knowles
Célestine Knowles is an American businesswoman and fashion designer best known as the mother of singers Beyoncé and Solange Knowles.
-
E.
Keisha Castle-Hughes
Keisha Castle-Hughes is a New Zealand actress best known for her Oscar-nominated breakthrough role in the film "Whale Rider" and later appearances in projects like "Game of Thrones."
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f47d2dc8190ad874be6902d8a4c |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027b3ab408190ab1e68dfbcf7eec6 |
completed | March 22, 2026, 5:32 p.m. |
Created at: March 22, 2026, 3:32 p.m.