Triple
T17171195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Price |
E416736
|
entity |
| Predicate | inheritsFrom |
P3800
|
FINISHED |
| Object | Mr. Price |
E1254007
|
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: Mr. Price | Statement: [Charlie Price, inheritsFrom, Mr. Price]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Price Context triple: [Charlie Price, inheritsFrom, Mr. Price]
-
A.
Mr. Price
chosen
Mr. Price is the father of Charlie Price, a central character in the musical and film "Kinky Boots."
-
B.
Geralds
Geralds is a village on the Caribbean island of Montserrat, known for hosting the island’s main airport.
-
C.
Cine Bazar
Cine Bazar is a Japanese film production company known for its involvement in major genre films such as the 2016 kaiju movie "Shin Godzilla."
-
D.
Pandian Stores
Pandian Stores is a popular Tamil-language family drama television series known for its ensemble cast and portrayal of joint family life, aired on Vijay TV.
-
E.
Dragon Mart
Dragon Mart is a massive Chinese-themed retail and trading complex in Dubai, known as one of the largest hubs for Chinese products outside mainland China.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc097950819095631ee5679e03af |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fc83984819098c98b75cf021e3a |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.