Triple
T12663506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yet Do I Marvel |
E302484
|
entity |
| Predicate | alludesTo |
P5142
|
FINISHED |
| Object | Tantalus |
E192275
|
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: Tantalus | Statement: [Yet Do I Marvel, alludesTo, Tantalus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tantalus Context triple: [Yet Do I Marvel, alludesTo, Tantalus]
-
A.
Tantalus
chosen
Tantalus is a figure from Greek mythology, a king notoriously punished by the gods for his grave offenses and regarded as an ancestor of the cursed House of Atreus.
-
B.
Tantalus
Tantalus is a volcanic cinder cone and ridge area near Honolulu, Hawaii, known for its scenic lookout points and lush, forested hiking trails overlooking the city and coastline.
-
C.
Erysichthon
Erysichthon is a figure from Greek mythology best known for being cursed with insatiable hunger by Demeter after he desecrated her sacred grove.
-
D.
Polydectes
Polydectes is a king in Greek mythology best known for sending Perseus on the quest to slay Medusa in an attempt to get rid of him.
-
E.
Sisyphus
Sisyphus is a figure from Greek mythology, a cunning king eternally condemned by the gods to roll a boulder up a hill only for it to roll back down each time.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617c5b888190b37d4ede139bb49e |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688819fc8190bc03a1a11f96d25f |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:19 p.m.