Triple
T15982465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpha House |
E387607
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Kacey Rohl |
E998734
|
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: Kacey Rohl | Statement: [Alpha House, hasCastMember, Kacey Rohl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kacey Rohl Context triple: [Alpha House, hasCastMember, Kacey Rohl]
-
A.
Kacey Rohl
chosen
Kacey Rohl is a Canadian actress known for her roles in television series such as Hannibal, The Magicians, and Arrow, as well as various film and TV projects.
-
B.
Billie Worley
Billie Worley is an American actor best known for his role on the fantasy-drama television series "Early Edition."
-
C.
Emily Rae
Emily Rae is a person known primarily as the sibling of American child actress Savannah Paige Rae.
-
D.
Analeigh Tipton
Analeigh Tipton is an American actress and former figure skater and model known for her roles in films such as "Crazy, Stupid, Love" and "Warm Bodies."
-
E.
Erin Buescher
Erin Buescher is a former professional basketball player best known as a standout WNBA forward and top reserve during the mid-2000s.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15755b5548190acfa29eecb11e675 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff293c2248190993d5d74eaf626bc |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 4:54 a.m.