Triple
T24569267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telediario |
E607885
|
entity |
| Predicate | hasNotableAnchor |
P30298
|
FINISHED |
| Object | Ana Blanco |
—
|
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: Ana Blanco | Statement: [Telediario, hasNotableAnchor, Ana Blanco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableAnchor Context triple: [Telediario, hasNotableAnchor, Ana Blanco]
-
A.
hasNotableReference
Indicates that one entity makes a significant or noteworthy mention of, or allusion to, another entity.
-
B.
hasNotableHead
Indicates that an entity is associated with a particularly prominent or distinguished leader or chief figure.
-
C.
hasNotableSegment
Indicates that an entity includes or contains a specific segment, part, or portion that is considered notable or significant in some way.
-
D.
hasNotableFeature
Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
-
E.
hasNotableHost
chosen
Indicates that an entity is associated with a host who is particularly prominent, famous, or otherwise noteworthy.
- F. None of above.
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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a923635c819097ecac0c82ec5f29 |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:28 a.m.