Triple
T15904488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corey Feldman |
E385673
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Vanessa Marcil |
E1122998
|
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: Vanessa Marcil | Statement: [Corey Feldman, spouse, Vanessa Marcil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Marcil Context triple: [Corey Feldman, spouse, Vanessa Marcil]
-
A.
Vanessa Marcil
chosen
Vanessa Marcil is an American actress best known for her roles on the television series "General Hospital," "Beverly Hills, 90210," and "Las Vegas."
-
B.
Jessica Paré
Jessica Paré is a Canadian actress best known for her role as Megan Draper on the television series "Mad Men."
-
C.
Lindsay Noseworth
Lindsay Noseworth is a fictional aeronaut and member of the skyfaring boy-adventurer crew in Thomas Pynchon's "Chums of Chance" stories.
-
D.
Tessa Auberjonois
Tessa Auberjonois is an American actress and voice actress known for her work in television, film, and animation, including roles in projects like The Amazing Screw-On Head.
-
E.
Anna Paquin
Anna Paquin is an Academy Award–winning Canadian-born New Zealand actress known for films such as "The Piano," the "X-Men" series, and the TV series "True Blood."
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563f74d88190a3d92ca0ad46e867 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb051a05081908c349cd9a1ff247a |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.