Triple
T13603324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skin (2018 film) |
E324996
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mike Colter |
E970698
|
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: Mike Colter | Statement: [Skin (2018 film), starring, Mike Colter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Colter Context triple: [Skin (2018 film), starring, Mike Colter]
-
A.
Mike Colter
chosen
Mike Colter is an American actor best known for starring as the superpowered hero in Marvel's Netflix series "Luke Cage."
-
B.
Van Der Beek
Van Der Beek is a Dutch-origin surname most prominently associated with American actor James Van Der Beek.
-
C.
Cameron Monaghan
Cameron Monaghan is an American actor and model best known for his roles in the TV series "Shameless" and "Gotham."
-
D.
Ben McKenzie
Ben McKenzie is an American actor best known for his leading roles on the television series The O.C. and Gotham.
-
E.
Steve Garrington
Steve Garrington is an American musician best known as the bassist and keyboardist for the indie rock band Low.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ca07481909c45da551ea61ab4 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f93ec588190993baec788d22670 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:49 p.m.