Triple
T1477619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Orleans Pelicans |
E30877
|
entity |
| Predicate | rebrandedToReflect |
P15210
|
FINISHED |
| Object | Louisiana state bird, the brown pelican |
—
|
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: Louisiana state bird, the brown pelican | Statement: [New Orleans Pelicans, rebrandedToReflect, Louisiana state bird, the brown pelican]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rebrandedToReflect Context triple: [New Orleans Pelicans, rebrandedToReflect, Louisiana state bird, the brown pelican]
-
A.
formerBrand
Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
-
B.
renamedToReflect
chosen
Indicates that something has been given a new name specifically to better represent its nature, purpose, or current status.
-
C.
successorBranding
Indicates that one brand has replaced or continued another brand as its subsequent or updated identity.
-
D.
brandingIntroduced
Indicates that a particular branding or brand identity has been newly introduced or brought into use for an entity.
-
E.
companyRenamedBackTo
Indicates that a company reverted its name from a newer one back to a previous or original name.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c605d4c0819088ab06678b2ba6f3 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c484e52c81908948ff8c0a42751b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:11 p.m.