Triple
T1782058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifty Shades Freed |
E39310
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Luke Grimes |
E199728
|
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: Luke Grimes | Statement: [Fifty Shades Freed, starring, Luke Grimes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luke Grimes Context triple: [Fifty Shades Freed, starring, Luke Grimes]
-
A.
Luke Grimes
chosen
Luke Grimes is an American actor known for his roles in films like the Fifty Shades series and the television drama Yellowstone.
-
B.
Marc Tarpenning
Marc Tarpenning is an American engineer and entrepreneur best known as a co-founder of electric vehicle and clean energy company Tesla, Inc.
-
C.
Mingus Lucien Reedus
Mingus Lucien Reedus is the son of American actor and model Norman Reedus and Danish supermodel Helena Christensen.
-
D.
Scott Grimes
Scott Grimes is an American actor and singer best known for his roles in the TV series "ER," "Band of Brothers," and as a prominent voice actor in animated television.
-
E.
Kellan Lutz
Kellan Lutz is an American actor and model best known for playing the vampire Emmett Cullen in the Twilight film series.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64e34fe881908aa75f2b4141b87b |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5cbefec8190940cf2a4f692394e |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:31 p.m.