Triple
T18168345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberty Films |
E434952
|
entity |
| Predicate | laterReputationOfItsAWonderfulLife |
P56376
|
FINISHED |
| Object | classic American film |
—
|
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: classic American film | Statement: [Liberty Films, laterReputationOfItsAWonderfulLife, classic American film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterReputationOfItsAWonderfulLife Context triple: [Liberty Films, laterReputationOfItsAWonderfulLife, classic American film]
-
A.
laterReputation
chosen
Indicates that an entity’s reputation or status at a later time is being referred to in relation to an earlier point or context.
-
B.
followsLifeOf
Indicates that one entity’s narrative, development, or progression is tracked or depicted over the course of that entity’s life.
-
C.
posthumousReputation
Indicates the reputation or standing attributed to a person after their death.
-
D.
hasInnerLife
Indicates that an entity possesses an internal, subjective mental or emotional experience.
-
E.
السمعة
Indicates the reputation or public perception associated with an entity based on others’ opinions or past actions.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df52f8b08190ab2c4d76b510cd28 |
completed | April 19, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.