Triple
T8896425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blixem |
E211815
|
entity |
| Predicate | listedWith |
P31874
|
FINISHED |
| Object | Cupid |
E37299
|
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: Cupid | Statement: [Blixem, listedWith, Cupid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cupid Context triple: [Blixem, listedWith, Cupid]
-
A.
Cupid
chosen
Cupid is one of Santa Claus’s traditional flying reindeer, typically depicted pulling his sleigh on Christmas Eve.
-
B.
Cupid
Cupid is the Roman god of love and desire, traditionally depicted as a winged boy whose arrows cause people to fall in love.
-
C.
Cupids
Cupids is a small historic town in Newfoundland and Labrador, Canada, recognized as one of the earliest English settlements in North America.
-
D.
Venus and Cupid
"Venus and Cupid" is a Renaissance painting by Lucas Cranach the Elder depicting the Roman goddess of love with her son Cupid in a sensual, allegorical composition characteristic of the artist’s courtly style.
-
E.
Eros
Eros is a loyal attendant to Mark Antony in Shakespeare’s tragedy "Antony and Cleopatra," known for his devotion and tragic death.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61bfec0881908e4ef5b7f0e6b542 |
completed | April 1, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba212fd081909ae87853c81e1d30 |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:54 p.m.