Triple
T20592520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor French |
E505964
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Julie Cobb |
—
|
NE NERFINISHED |
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: Julie Cobb | Statement: [Victor French, spouse, Julie Cobb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Cobb Context triple: [Victor French, spouse, Julie Cobb]
-
A.
Julie Cobb
chosen
Julie Cobb is an American actress known for her numerous television and film roles from the 1960s onward, including appearances on shows like "Star Trek" and "Charles in Charge."
-
B.
Julie Stark
Julie Stark is the daughter of fictional prosecutor Sebastian Stark from the television series "Shark."
-
C.
Kim Gannon
Kim Gannon was an American songwriter best known for penning the lyrics to several popular mid-20th-century songs, including the holiday standard "I'll Be Home for Christmas."
-
D.
Julie Dray
Julie Dray is a French actress known for her work in British television and film, including a prominent role in the comedy series "Crashing."
-
E.
Rebecca Greer
Rebecca Greer is an American author and journalist known for her influential feminist writings and commentary on women's roles in modern society.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a97d63cc8190853e052d5930470d |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.