Triple
T18901981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xanth |
E462358
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Harpy Thyme |
—
|
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: Harpy Thyme | Statement: [Xanth, hasPart, Harpy Thyme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harpy Thyme Context triple: [Xanth, hasPart, Harpy Thyme]
-
A.
Harpy Thyme
chosen
Harpy Thyme is a fantasy novel in Piers Anthony’s long-running Xanth series, known for its pun-filled world and whimsical adventure.
-
B.
Cress
Cress is an American actor best known for his leading role as Jefferson Pierce/Black Lightning in the television series "Black Lightning."
-
C.
Myrties
Myrties is a coastal village on the Greek island of Kalymnos, known for its beach, views of the islet Telendos, and role as a base for climbers and tourists.
-
D.
Topthorn
Topthorn is the powerful black war horse from Michael Morpurgo’s novel "War Horse," known for his strength, nobility, and close bond with the protagonist horse Joey.
-
E.
Landrake
Landrake is a small rural village in southeast Cornwall, England, situated near the town of Saltash.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52a4b4c8190b5821996e3c1741d |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.