Triple
T10661581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natasha Caine |
E251238
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Caine |
E869537
|
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: Caine | Statement: [Natasha Caine, familyName, Caine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caine Context triple: [Natasha Caine, familyName, Caine]
-
A.
Caine
chosen
Caine is a surname most notably associated with Paul Waymond Caine, one of the founders of the Kappa Alpha Psi fraternity.
-
B.
Mal Cobb
Mal Cobb is a central character in the film "Inception," known as Dom Cobb's deceased wife whose haunting presence blurs the line between reality and dream in his subconscious.
-
C.
Michael Cage
Michael Cage is a former American professional basketball player and dominant rebounder who starred in college before enjoying a long NBA career primarily in the 1980s and 1990s.
-
D.
Korben Dallas
Korben Dallas is the gruff yet heroic former special forces major-turned-taxi driver who becomes humanity’s reluctant savior in the sci-fi film "The Fifth Element."
-
E.
Eddie Kane
Eddie Kane was an American character actor known for his numerous supporting roles in Hollywood films from the 1930s through the 1950s.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e018d1e881909b8e62682104e842 |
completed | April 8, 2026, 11:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a8cabc88190b430cb08ed0fc515 |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:08 p.m.