Triple
T21510778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanche Hudson |
E530711
|
entity |
| Predicate | relationshipToFame |
P100676
|
FINISHED |
| Object | former Hollywood celebrity |
—
|
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: former Hollywood celebrity | Statement: [Blanche Hudson, relationshipToFame, former Hollywood celebrity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToFame Context triple: [Blanche Hudson, relationshipToFame, former Hollywood celebrity]
-
A.
organFamousFor
Indicates that an organ is widely recognized or notable for a particular characteristic, function, or association.
-
B.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
C.
famousIndividual
chosen
Indicates that an individual is widely known and recognized by a large number of people, typically for notable achievements, status, or public visibility.
-
D.
namedForNotablePersonFrom
Indicates that one entity is named in honor of a notable person who originates from another specified place or group.
-
E.
namedForKnownFor
Indicates that one entity is named after another entity specifically because that other entity is notable or recognized for something.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea863b18819080e3ff249b10ec28 |
completed | April 23, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:25 p.m.