Triple
T13549856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Louiso |
E323612
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sarah Koskoff |
E879841
|
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: Sarah Koskoff | Statement: [Todd Louiso, spouse, Sarah Koskoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Koskoff Context triple: [Todd Louiso, spouse, Sarah Koskoff]
-
A.
Sarah Koskoff
chosen
Sarah Koskoff is an American actress and screenwriter known for her work in independent films and television.
-
B.
Tana Mundkowsky
Tana Mundkowsky is an American woman best known as the wife of The Killers’ lead singer Brandon Flowers and for her influence on some of the band’s songs and imagery.
-
C.
Kate Schechter
Kate Schechter is a central character in Douglas Adams's novel "The Long Dark Tea-Time of the Soul," an American living in London who becomes entangled in a bizarre mystery involving Norse gods and the holistic detective Dirk Gently.
-
D.
Lily Schechner
Lily Schechner is the teenage protagonist and aspiring witch at the center of the supernatural coming-of-age story in the film "The Craft: Legacy."
-
E.
Danielle Judovits
Danielle Judovits is an American voice actress known for her work in animated television series and video games.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafdcecf481909999a173b32a58cd |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a2ae47881909e0e6c23473a9e1c |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:46 p.m.