Triple
T29474014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Life to Live |
E747591
|
entity |
| Predicate | usesDocumentaryElements |
P22752
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [My Life to Live, usesDocumentaryElements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDocumentaryElements Context triple: [My Life to Live, usesDocumentaryElements, true]
-
A.
hasDocumentaryType
Indicates that something is associated with or classified by a specific type or category of documentary.
-
B.
hasDocumentaryAboutIt
Indicates that there exists a documentary film or program whose subject matter is focused on the referenced entity.
-
C.
documentaryFunction
Indicates that one entity serves as a documentary record or evidence for another entity, capturing, describing, or documenting it.
-
D.
usesFootageType
chosen
Indicates that one entity employs or incorporates a particular type or category of footage in its content or production.
-
E.
madeDocumentary
Indicates that one entity created or produced a documentary film or program about another 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 28, 2026, 3:59 p.m.