Triple
T3651507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fantasy |
E77426
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Corazón |
E296689
|
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: Corazón | Statement: [Fantasy, hasPart, Corazón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corazón Context triple: [Fantasy, hasPart, Corazón]
-
A.
Corazón
chosen
Corazón is a stratovolcano in Ecuador’s Andes, known as one of the prominent peaks near Quito popular with hikers and mountaineers.
-
B.
Herzen
Herzen is a Russian surname most famously associated with Alexander Herzen, a 19th-century writer and political thinker often called the "father of Russian socialism."
-
C.
El Pecho
El Pecho is a prominent summit of the Iztaccíhuatl volcano in central Mexico, recognizable as part of the mountain’s distinctive “sleeping woman” profile.
-
D.
Si No Te Quiere
"Si No Te Quiere" is a breakthrough reggaeton/Latin trap song by Puerto Rican artist Ozuna that helped launch him to international fame.
-
E.
Te Lo Dije
Te Lo Dije is a music release by American singer-songwriter Miguel, following his album War & Leisure.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b664448190986b5223d59de282 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f435c088190976c1dab165665f1 |
completed | March 13, 2026, 5:54 p.m. |
Created at: March 8, 2026, 3:24 p.m.