Triple
T19602005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hostess Quickly |
E470501
|
entity |
| Predicate | appearsAlongside |
P25756
|
FINISHED |
| Object | Nym |
—
|
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: Nym | Statement: [Hostess Quickly, appearsAlongside, Nym]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nym Context triple: [Hostess Quickly, appearsAlongside, Nym]
-
A.
Nym
chosen
Nym is a minor, cynical follower of Falstaff in Shakespeare’s plays, known for his terse, repetitive speech and role as a comic soldier.
-
B.
Inkwil
Inkwil is a small municipality in the canton of Bern, Switzerland, known for its proximity to the scenic Lake Inkwil.
-
C.
Cybinka
Cybinka is a small town in western Poland near the German border, known for its surrounding forests and proximity to the Oder River.
-
D.
Pym
Pym is an English surname most notably associated with John Pym, a leading parliamentary figure in the early stages of the English Civil War.
-
E.
Blackbriar
Blackbriar is a covert, off-the-books CIA black ops program featured in the Jason Bourne film series, known for its illegal assassination and surveillance activities.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407f1fd88190aa82c4c96f755584 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.