Triple
T19980927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fair Youth |
E493812
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Dark Lady |
—
|
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: Dark Lady | Statement: [Fair Youth, contrastedWith, Dark Lady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dark Lady Context triple: [Fair Youth, contrastedWith, Dark Lady]
-
A.
Dark Lady
"Dark Lady" is a 1974 pop song by American singer Cher, known for its dramatic storytelling and chart-topping success.
-
B.
Dark Lady
chosen
The Dark Lady is the mysterious, morally ambiguous woman addressed in William Shakespeare’s later sonnets, noted for her sensuality, infidelity, and complex relationship with the poet.
-
C.
Dark Lady
The Dark Lady is the fearsome and enigmatic title borne by Sylvanas Windrunner as the ruler of the Forsaken in World of Warcraft’s Undercity.
-
D.
Lenore
"Lenore" is a melancholic poem by Edgar Allan Poe that explores themes of death, mourning, and idealized love through the lament for a lost woman.
-
E.
Lenore
Lenore is a small unincorporated rural community located in Nez Perce County in north-central Idaho, United States.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d12d968819081e315ec4585cd9f |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.