Triple
T20925009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lookout Joe |
E515316
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tim Mulligan |
—
|
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: Tim Mulligan | Statement: [Lookout Joe, producer, Tim Mulligan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Mulligan Context triple: [Lookout Joe, 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.
Dan Mulligan
Dan Mulligan is a fictional, down-on-his-luck music producer portrayed by Mark Ruffalo in the film "Begin Again."
-
C.
Jeff Mullins
Jeff Mullins is a former American basketball player best known as a three-time NBA All-Star and key contributor to the Golden State Warriors’ 1975 championship team.
-
D.
Jack Mulligan
Jack Mulligan is a corrupt and ambitious Chicago politician who serves as a central antagonist in the heist thriller film "Widows" (2018).
-
E.
Keith Mullins
Keith Mullins is a fictional Counter Terrorist Unit director featured in the television series "24: Legacy."
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f651278481909e7194f892703828 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.