Triple
T1733159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Estrella Solitaria |
E37858
|
entity |
| Predicate | nicknamedBy |
P25214
|
FINISHED |
| Object | Chilean media |
—
|
LITERAL 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: Chilean media | Statement: [La Estrella Solitaria, nicknamedBy, Chilean media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknamedBy Context triple: [La Estrella Solitaria, nicknamedBy, Chilean media]
-
A.
notableNickname
chosen
Indicates that one entity is a well-known or widely recognized nickname or moniker for another entity.
-
B.
honorificNickname
Indicates that one entity is referred to by a respectful or honorific nickname by another entity or in a given context.
-
C.
fandomNickname
Indicates that one entity is the nickname used by fans to refer to another entity (such as a person, group, or work).
-
D.
notableTeamNickname
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
-
E.
academyNickname
Indicates that an entity is known by a particular informal or colloquial nickname within an academy or academic institution context.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab5c553e508190b0f511b05e07fa20 |
completed | March 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69aa61c25a648190892de94c997fb983 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.