Triple
T17165786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clint Buchanan |
E416603
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Nora Hanen |
E1250767
|
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: Nora Hanen | Statement: [Clint Buchanan, spouse, Nora Hanen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nora Hanen Context triple: [Clint Buchanan, spouse, Nora Hanen]
-
A.
Nora Hanen
chosen
Nora Hanen is a central character on the soap opera "One Life to Live," known as a sharp-witted attorney involved in many of the show's major legal and romantic storylines.
-
B.
Hana Lieberman
Hana Lieberman is the daughter of American lobbyist and public figure Hadassah Lieberman and thus part of the prominent Lieberman political family.
-
C.
Hannah Sors
Hannah Sors is a member of the Sors family, known primarily for her familial connection to Adam Sors.
-
D.
Nora Grossman
Nora Grossman is a film producer best known for her work on the acclaimed historical drama "The Imitation Game."
-
E.
Norah Lorkowski
Norah Lorkowski is a character from the film "Sunshine Cleaning," portrayed as the aimless, rebellious younger sister who joins her sibling in starting a crime-scene cleanup business.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f914a0748190b2658edbe576ea2d |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fc687788190864fa3922a31184d |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.