Triple
T34336878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mi Reflejo |
E881170
|
entity |
| Predicate | includesSpanishAdaptationsOf |
P36214
|
FINISHED |
| Object | Genie in a Bottle |
E51457
|
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: Genie in a Bottle | Statement: [Mi Reflejo, includesSpanishAdaptationsOf, Genie in a Bottle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSpanishAdaptationsOf Context triple: [Mi Reflejo, includesSpanishAdaptationsOf, Genie in a Bottle]
-
A.
SpanishEditionURL
Indicates the web address where the Spanish-language edition or version of something can be accessed.
-
B.
spanishReturn
Indicates a situation in which something or someone goes back or is sent back in a Spanish context, manner, or language.
-
C.
hasSpanishLanguageVersion
chosen
Indicates that an entity has a corresponding version or representation available in the Spanish language.
-
D.
hasSignificantSpanishInfluence
Indicates that one entity has been strongly shaped or notably affected by Spanish culture, language, practices, or presence.
-
E.
spanishVersionUsage
Indicates how and in what context the Spanish-language version of something is used.
- F. None of above.
Provenance (4 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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37181c9ff081909bb83283a55f5905 |
completed | June 20, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:58 a.m.