Triple
T11760192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac and Me |
E279633
|
entity |
| Predicate | featuresActorInEarlyRole |
P95803
|
FINISHED |
| Object | Jennifer Aniston |
E74778
|
NE FINISHED |
How this triple was built (3 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: Jennifer Aniston | Statement: [Mac and Me, featuresActorInEarlyRole, Jennifer Aniston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Aniston Context triple: [Mac and Me, featuresActorInEarlyRole, Jennifer Aniston]
-
A.
Jennifer Aniston
chosen
Jennifer Aniston is an American actress and producer best known for her role as Rachel Green on the television sitcom "Friends" and for starring in numerous successful comedy films.
-
B.
Reese Witherspoon
Reese Witherspoon is an American actress and producer known for her versatile roles in film and television, including "Legally Blonde," "Walk the Line," and "Big Little Lies."
-
C.
Katherine Heigl
Katherine Heigl is an American actress and former fashion model best known for her roles in the television series "Grey's Anatomy" and various romantic comedy films.
-
D.
Kaley Cuoco
Kaley Cuoco is an American actress best known for her comedic television roles, particularly as Penny on the hit sitcom "The Big Bang Theory."
-
E.
Julia Roberts
Julia Roberts is an Academy Award–winning American actress renowned for her leading roles in films such as "Pretty Woman," "Erin Brockovich," and numerous other box-office hits.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresActorInEarlyRole Context triple: [Mac and Me, featuresActorInEarlyRole, Jennifer Aniston]
-
A.
featuresActorEarlyPerformance
chosen
Indicates that the work includes one of the actor’s earlier or formative performances in their career.
-
B.
screenDebutInMajorRoleFor
Indicates that one entity made their first significant on-screen appearance (major role) in a particular production or work.
-
C.
featuresActorInMultipleRoles
Indicates that a work includes an actor who portrays more than one distinct role within that same work.
-
D.
replacesInLeadRole
Indicates that one entity takes over or substitutes for another entity in the primary or leading role within a given context or production.
-
E.
stageDebutRole
Indicates the role in which an entity first appeared in a stage performance or theatrical debut.
- F. None of above.
Provenance (4 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1309f25a88190b0acaf7d9be6ae59 |
completed | April 28, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69d88a829fe481909cc5431de7d6058e |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.