Triple
T4807573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rust Never Sleeps |
E106983
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tim Mulligan |
E475878
|
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: Tim Mulligan | Statement: [Rust Never Sleeps, producer, Tim Mulligan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Mulligan Context triple: [Rust Never Sleeps, producer, Tim Mulligan]
-
A.
Tim Mulligan
chosen
Tim Mulligan is a music producer and audio engineer known for his work on projects such as the album "Like a Hurricane."
-
B.
Jack Mulligan
Jack Mulligan is a corrupt and ambitious Chicago politician who serves as a central antagonist in the heist thriller film "Widows" (2018).
-
C.
Ryan Merriman
Ryan Merriman is an American actor best known for his roles in films like "Final Destination 3" and several Disney Channel movies, as well as television series such as "Pretty Little Liars."
-
D.
Matthew McNulty
Matthew McNulty is a British actor known for his work in film and television, including roles in series like "Misfits," "The Mill," and "Versailles."
-
E.
Nick Swinmurn
Nick Swinmurn is an American entrepreneur best known for creating the online shoe and clothing retailer Zappos, which became a pioneering force in e-commerce and customer service.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c6a98a481909ef273d9946906a4 |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fa2f3e0819084ca792c1b08e3b9 |
completed | March 21, 2026, 10:14 a.m. |
Created at: March 20, 2026, 1:23 p.m.