Triple
T5173563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Cross |
E116740
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Amber Tamblyn |
E322048
|
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: Amber Tamblyn | Statement: [David Cross, spouse, Amber Tamblyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amber Tamblyn Context triple: [David Cross, spouse, Amber Tamblyn]
-
A.
Amber Tamblyn
chosen
Amber Tamblyn is an American actress and writer best known for her roles in the television series "Joan of Arcadia" and films such as "The Sisterhood of the Traveling Pants."
-
B.
Lacey Chabert
Lacey Chabert is an American actress and voice actress best known for her roles in the film "Mean Girls," numerous Hallmark Channel movies, and early voice work in animated series.
-
C.
Ariel Winter
Ariel Winter is an American actress best known for playing Alex Dunphy on the hit television sitcom "Modern Family."
-
D.
Dakota Fanning
Dakota Fanning is an American actress who rose to fame as a child star in films like "I Am Sam" and has since built a diverse career in both mainstream and independent cinema.
-
E.
Abigail Breslin
Abigail Breslin is an American actress who gained prominence as a child star in films like "Little Miss Sunshine" and has continued to work in both film and television.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd796f7c308190a721e33aabd499ac |
completed | March 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee07a6620819089e2b3fcb322a47e |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:45 p.m.