Triple
T20813405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Look |
E512370
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Tom Singh |
—
|
NE NERFINISHED |
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: Tom Singh | Statement: [New Look, hasKeyPerson, Tom Singh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Singh Context triple: [New Look, hasKeyPerson, Tom Singh]
-
A.
Tom Singh
chosen
Tom Singh is a British entrepreneur best known as the founder of the fashion retail chain New Look.
-
B.
Naveen Andrews
Naveen Andrews is a British actor best known for his roles in the television series "Lost" and films such as "The English Patient."
-
C.
David Singh
David Singh is a fictional character in DC Comics, best known as the strict but fair director of the Central City Police Department's crime lab and a supporting character in The Flash stories.
-
D.
Jimi Mistry
Jimi Mistry is a British actor known for his roles in films such as "East Is East" and "The Guru," as well as various UK television dramas.
-
E.
Steve Singh
Steve Singh is an American technology entrepreneur best known as the co-founder and longtime CEO of Concur Technologies, a leading provider of travel and expense management software.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d415688190b66adc44d4df9bbb |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.