Triple
T9233749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Seberg |
E221884
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jean Seberg |
E221884
|
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: Jean Seberg | Statement: [Jean Seberg, name, Jean Seberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Seberg Context triple: [Jean Seberg, name, Jean Seberg]
-
A.
Jean Seberg
chosen
Jean Seberg was an American actress and French New Wave icon best known for her role in Jean-Luc Godard’s film "Breathless."
-
B.
Sue Lyon
Sue Lyon was an American actress best known for her provocative title role in Stanley Kubrick’s film "Lolita" (1962).
-
C.
Patty McCormack
Patty McCormack is an American actress best known for her chilling childhood performance in the 1956 film "The Bad Seed," which earned her significant critical acclaim and early career honors.
-
D.
Joan Caulfield
Joan Caulfield was an American film and television actress best known for her roles in 1940s and 1950s Hollywood romantic comedies and dramas.
-
E.
Madlyn Rhue
Madlyn Rhue was an American film and television actress best known for her numerous guest roles on popular series from the 1950s through the 1980s, including a memorable appearance on the original Star Trek.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee1baa3c8190870d1e850ccab1e0 |
completed | April 1, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077bb5b10819083fd2de3ed7d69a4 |
completed | April 4, 2026, 2:30 a.m. |
Created at: March 30, 2026, 7:29 p.m.