Triple
T15311905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Mike |
E366057
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Matt Bomer |
E145513
|
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: Matt Bomer | Statement: [Magic Mike, starring, Matt Bomer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Bomer Context triple: [Magic Mike, starring, Matt Bomer]
-
A.
Matt Bomer
chosen
Matt Bomer is an American actor known for his roles in the TV series "White Collar" and films such as "Magic Mike" and "The Normal Heart."
-
B.
Jason Dohring
Jason Dohring is an American actor best known for his role as Logan Echolls on the television series "Veronica Mars."
-
C.
Patrick J. Adams
Patrick J. Adams is a Canadian actor best known for starring as brilliant college dropout-turned-law associate Mike Ross on the legal drama series "Suits."
-
D.
Tyler Hoechlin
Tyler Hoechlin is an American actor best known for roles such as Derek Hale on "Teen Wolf" and Superman/Clark Kent in the Arrowverse series.
-
E.
Justin Bamber
Justin Bamber is a relatively obscure individual whose primary current notability appears to stem from being listed as a bearer of the surname Bamber.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133d171c8190918c9624bcdb7451 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:16 a.m.