Triple
T5699660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Tenney |
E125626
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Teri Hatcher |
E109876
|
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: Teri Hatcher | Statement: [Jon Tenney, spouse, Teri Hatcher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teri Hatcher Context triple: [Jon Tenney, spouse, Teri Hatcher]
-
A.
Teri Hatcher
chosen
Teri Hatcher is an American actress best known for her roles on the television series "Lois & Clark: The New Adventures of Superman" and "Desperate Housewives."
-
B.
Elizabeth Berkley
Elizabeth Berkley is an American actress best known for her roles in the TV series "Saved by the Bell" and the film "Showgirls."
-
C.
Angela Richards
Angela Richards is known as one of the children of Rolling Stones guitarist Keith Richards.
-
D.
Cybill Shepherd
Cybill Shepherd is an American actress and former model best known for her roles in films like "The Last Picture Show" and the TV series "Moonlighting."
-
E.
Jorja Fox
Jorja Fox is an American actress best known for her long-running role as Sara Sidle on the television series CSI: Crime Scene Investigation.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0241030408190be774a5d2ca6e999 |
completed | March 22, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097e576a481909b918bfc93082fa9 |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:45 p.m.