Triple
T9900746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Chambers |
E182273
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Justin Chambers |
E182273
|
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: Justin Chambers | Statement: [Justin Chambers, name, Justin Chambers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Chambers Context triple: [Justin Chambers, name, Justin Chambers]
-
A.
Justin Chambers
chosen
Justin Chambers is an American actor best known for his long-running role as Dr. Alex Karev on the television medical drama "Grey’s Anatomy."
-
B.
Orson Cox
Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
-
C.
Douglas Booth
Douglas Booth is an English actor known for his roles in film and television dramas, including literary and period adaptations.
-
D.
Colin Donnell
Colin Donnell is an American actor best known for his television roles in series such as "Arrow" and "Chicago Med," as well as his work on Broadway.
-
E.
Logan Marshall-Green
Logan Marshall-Green is an American actor and director known for his roles in films like "Prometheus" and "Upgrade" as well as various television 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e0705c8190bd17e36aff615cdd |
completed | April 2, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb2125208190b4cf549d67d1ca42 |
completed | April 5, 2026, 4:54 a.m. |
Created at: March 30, 2026, 8:40 p.m.