Triple
T11760190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac and Me |
E279633
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tina Caspary |
E442286
|
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: Tina Caspary | Statement: [Mac and Me, starring, Tina Caspary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tina Caspary Context triple: [Mac and Me, starring, Tina Caspary]
-
A.
Tina Hirsch
Tina Hirsch is an American film editor known for her work on numerous feature films and television projects.
-
B.
Cynthia Scheider
Cynthia Scheider is an American film editor known for her work on movies such as "The Taking of Pelham One Two Three" and "Kramer vs. Kramer."
-
C.
Janine Melnitz
Janine Melnitz is the Ghostbusters’ sharp-tongued, no-nonsense receptionist who provides comic relief and grounded support to the team.
-
D.
Lisa Eilbacher
chosen
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
E.
Diane Szalinski
Diane Szalinski is a character from the "Honey, I Shrunk the Kids" franchise, known as the practical and caring wife of eccentric inventor Wayne Szalinski.
- 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_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_69f6554ec69c8190ba9ffbaf220c44f4 |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:41 p.m.