Triple
T21957804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The TV Set |
E542236
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Tara Timpone |
—
|
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: Tara Timpone | Statement: [The TV Set, editedBy, Tara Timpone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tara Timpone Context triple: [The TV Set, editedBy, Tara Timpone]
-
A.
Tara Timpone
chosen
Tara Timpone is a film editor known for her work on the romantic comedy-drama "Juliet, Naked."
-
B.
Caitlin Parrish
Caitlin Parrish is an American playwright, television writer, and producer known for her socially conscious storytelling across stage and screen.
-
C.
Tara Martin
Tara Martin is a fictional character from the soap opera "All My Children," known as one of the early members of the Martin family.
-
D.
Tara Maclay
Tara Maclay is a gentle, powerful witch and key supporting character in the television series "Buffy the Vampire Slayer," known for her relationship with Willow Rosenberg and her tragic fate.
-
E.
Tasha Mack
Tasha Mack is a sharp-tongued, fiercely protective sports manager and mother on the television series "The Game," known for her humor, ambition, and complex family relationships.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1244108948190a08e6966e55c4acd |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 8 p.m.