Triple
T23406439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol (2015 film) |
E559946
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jake Lacy |
—
|
NE NERFINISHED |
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: Jake Lacy | Statement: [Carol (2015 film), castMember, Jake Lacy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Lacy Context triple: [Carol (2015 film), castMember, Jake Lacy]
-
A.
Jake Lacy
chosen
Jake Lacy is an American actor known for his roles in television series like "The Office" and "The White Lotus" as well as various film appearances.
-
B.
Joshua Coleman
Joshua Coleman is an author known for his work on family dynamics, estrangement, and modern parenting challenges.
-
C.
Mason Parrish
Mason Parrish is a character in the science fiction horror film "Altered States," involved in the story's exploration of psychedelic experiments and human consciousness.
-
D.
Lance Allred
Lance Allred is a former professional basketball player and motivational speaker known as the first legally deaf player in NBA history.
-
E.
Beau Dozier
Beau Dozier is an American songwriter and record producer known for his work with various pop and R&B artists.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a50e607c8190ba0a22e89862a2d9 |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:38 p.m.