Triple
T12685992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Sloane |
E303065
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Jake Lacy |
E452237
|
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: Jake Lacy | Statement: [Miss Sloane, hasCastMember, Jake Lacy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Lacy Context triple: [Miss Sloane, hasCastMember, 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.
Lance Allred
Lance Allred is a former professional basketball player and motivational speaker known as the first legally deaf player in NBA history.
-
D.
Leighton Lucas
Leighton Lucas was a British composer and conductor best known for his film scores and concert works in the mid-20th century.
-
E.
Myles Mitchell
Myles Mitchell is the stepson of Dee Mitchell, a character from the television series "Moesha."
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d7cd4c81909521839ef5859799 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7a79908190b83a868090990bbe |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:21 p.m.