Triple
T4879200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buck Mulligan |
E109282
|
entity |
| Predicate | appearsInChapter |
P795
|
FINISHED |
| Object | Proteus |
E118790
|
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: Proteus | Statement: [Buck Mulligan, appearsInChapter, Proteus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proteus Context triple: [Buck Mulligan, appearsInChapter, Proteus]
-
A.
Proteus
Proteus is the nickname of Charles Proteus Steinmetz, a pioneering German-American electrical engineer and mathematician renowned for his foundational work in alternating current (AC) power systems.
-
B.
Proteus
Proteus is an experimental high-altitude, long-endurance aircraft designed by Scaled Composites for telecommunications, reconnaissance, and research missions.
-
C.
Proteus
chosen
Proteus is one of Neptune’s largest irregularly shaped moons, known for its dark surface and heavily cratered, ancient terrain.
-
D.
Poros
Poros is a small Greek island in the Saronic Gulf known for its pine-covered hills, neoclassical town, and popularity as a nearby getaway from Athens.
-
E.
Calliope
Calliope is the Muse of epic poetry in Greek mythology, often depicted as the chief of the nine Muses and associated with eloquence and heroic verse.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dbf37ac819085bb758bc6406271 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67ffd9e88190a2c293d16a8cbbc7 |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:27 p.m.