Triple
T30692220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goddess of the Silent Screen |
E781358
|
entity |
| Predicate | impliesFameLevel |
P27257
|
FINISHED |
| Object | celebrated |
—
|
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: celebrated | Statement: [Goddess of the Silent Screen, impliesFameLevel, celebrated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impliesFameLevel Context triple: [Goddess of the Silent Screen, impliesFameLevel, celebrated]
-
A.
fameStatus
chosen
Indicates the level or state of public recognition or renown associated with an entity.
-
B.
claimToFame
Indicates the notable achievement, characteristic, or association for which an entity is best known.
-
C.
unitOfProminence
Indicates that one entity specifies the unit or scale in which the prominence or significance of another entity is measured or expressed.
-
D.
famePeak
Indicates the time or point at which an entity reaches its highest level of fame or public recognition.
-
E.
basedOnFameFrom
Indicates that something is determined, influenced, or derived from the level or source of fame associated with an entity.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:33 p.m.