Triple
T25713920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Whales of August |
E644805
|
entity |
| Predicate | featuresActorCareerStage |
P135082
|
FINISHED |
| Object | late career of Lillian Gish |
—
|
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: late career of Lillian Gish | Statement: [The Whales of August, featuresActorCareerStage, late career of Lillian Gish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresActorCareerStage Context triple: [The Whales of August, featuresActorCareerStage, late career of Lillian Gish]
-
A.
featuresArtistLifeStage
chosen
Indicates that something (such as a work, event, or record) is associated with or highlights a particular stage in an artist’s life or career.
-
B.
hasCareerStage
Indicates the specific phase or stage of a person's or entity's professional or occupational progression.
-
C.
starsLaterCareerRoleOf
Indicates that one entity plays a starring role in a later phase or version of another entity’s career or role.
-
D.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
E.
leadActorOccupation
Indicates that the occupation specified is the primary professional role of the lead actor in a given work or 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 21, 2026, 9:22 p.m.