Triple
T19647049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaws (henchman) |
E471700
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object | Dolly (Moonraker character) |
—
|
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: Dolly (Moonraker character) | Statement: [Jaws (henchman), partner, Dolly (Moonraker character)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolly (Moonraker character) Context triple: [Jaws (henchman), partner, Dolly (Moonraker character)]
-
A.
Lady Lufton
Lady Lufton is a prominent, socially influential noblewoman in Anthony Trollope’s novel "Framley Parsonage," known for her strong opinions, moral rigidity, and control over her social circle.
-
B.
Donna Who
Donna Who is a resident of Whoville and the caring single mother of Cindy-Lou Who in the 2018 animated film "The Grinch."
-
C.
Dolly
chosen
Dolly is a character in the James Bond film series, best known as the petite, bespectacled girlfriend of the steel-toothed henchman Jaws in "Moonraker."
-
D.
Dolly
Dolly is a legendary American country music singer-songwriter, actress, and philanthropist renowned for hits like "Jolene" and "9 to 5."
-
E.
Dolly
Dolly is a character connected to Bonnie Anderson in the Toy Story franchise, likely one of the toys residing in her household.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64125dd9481908a891c71c975a964 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.