Triple
T1771113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifty Shades Darker |
E38875
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Luke Grimes
Luke Grimes is an American actor known for his roles in films like the Fifty Shades series and the television drama Yellowstone.
|
E199728
|
NE FINISHED |
How this triple was built (4 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 Darker, starring, Luke Grimes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luke Grimes Context triple: [Fifty Shades Darker, starring, Luke Grimes]
-
A.
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.
-
B.
Mingus Lucien Reedus
Mingus Lucien Reedus is the son of American actor and model Norman Reedus and Danish supermodel Helena Christensen.
-
C.
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.
-
D.
Kellan Lutz
Kellan Lutz is an American actor and model best known for playing the vampire Emmett Cullen in the Twilight film series.
-
E.
Michael Kube-McDowell
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Luke Grimes Triple: [Fifty Shades Darker, starring, Luke Grimes]
Generated description
Luke Grimes is an American actor known for his roles in films like the Fifty Shades series and the television drama Yellowstone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luke Grimes Target entity description: Luke Grimes is an American actor known for his roles in films like the Fifty Shades series and the television drama Yellowstone.
-
A.
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.
-
B.
Mingus Lucien Reedus
Mingus Lucien Reedus is the son of American actor and model Norman Reedus and Danish supermodel Helena Christensen.
-
C.
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.
-
D.
Kellan Lutz
Kellan Lutz is an American actor and model best known for playing the vampire Emmett Cullen in the Twilight film series.
-
E.
Michael Kube-McDowell
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
- F. None of above. chosen
Provenance (5 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa648fe908819098fd27b74b17fabb |
completed | March 6, 2026, 5:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9936f5881909b78bda48039916a |
completed | March 8, 2026, 4:53 p.m. |
| NEDg | Description generation | batch_69adae9845f081908904030f7a10df63 |
completed | March 8, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adafa3494c8190b34a6930cf38ca40 |
completed | March 8, 2026, 5:19 p.m. |
Created at: March 4, 2026, 7:31 p.m.