Triple
T15636717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christine (2016 film) |
E375963
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | J. Smith-Cameron |
E237986
|
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: J. Smith-Cameron | Statement: [Christine (2016 film), starredActor, J. Smith-Cameron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. Smith-Cameron Context triple: [Christine (2016 film), starredActor, J. Smith-Cameron]
-
A.
J. Smith-Cameron
chosen
J. Smith-Cameron is an American actress known for her work on stage and screen, including acclaimed performances in theater and in the television series "Succession."
-
B.
Julianne Smith
Julianne Smith is an American diplomat and foreign policy expert who serves as the United States Ambassador to the North Atlantic Treaty Organization (NATO).
-
C.
Amy Smith
Amy Smith is the daughter of John Smith.
-
D.
Nancy Cameron
Nancy Cameron is the daughter of former UK Prime Minister David Cameron and businesswoman Samantha Cameron.
-
E.
Alexandra Smith
Alexandra Smith is a television producer best known for her executive production work on the true-crime series "Dirty John."
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eba51f08190ac5d9de7fc89405a |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f4923ac8190a03fe1f2c878c27e |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.