Triple
T15088541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Dillane |
E360348
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Naomi Wirthner |
E512036
|
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: Naomi Wirthner | Statement: [Stephen Dillane, spouse, Naomi Wirthner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naomi Wirthner Context triple: [Stephen Dillane, spouse, Naomi Wirthner]
-
A.
Naomi Wildman
Naomi Wildman is a young human-Ktarian girl aboard the starship USS Voyager in Star Trek: Voyager, known for her close relationships with the crew and her role in several family-centered storylines.
-
B.
Naomi Nelson
Naomi Nelson is an American filmmaker and producer best known for her work in television and her marriage to actor and stunt performer Johnny Knoxville.
-
C.
Naomi Wallace
Naomi Wallace is an American playwright and screenwriter known for her politically charged, lyrically written works for stage and film.
-
D.
Naomi Lange
chosen
Naomi Lange is known as the wife of former New Zealand Prime Minister David Lange.
-
E.
Naomi Grossman
Naomi Grossman is an American actress best known for her portrayal of Pepper in the television anthology series American Horror Story.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00277ea808190be3f002a8316eff1 |
completed | April 15, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae1ba4208190b1e8c55668a1b422 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.