Triple
T33602232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Unfinished Life |
E860748
|
entity |
| Predicate | hasWikipediaTitle |
P180465
|
FINISHED |
| Object | An Unfinished Life (film) |
—
|
NE NERFINISHED |
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: An Unfinished Life (film) | Statement: [An Unfinished Life, hasWikipediaTitle, An Unfinished Life (film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWikipediaTitle Context triple: [An Unfinished Life, hasWikipediaTitle, An Unfinished Life (film)]
-
A.
hasCataloguedTitle
Indicates that an entity has a specific title recorded or listed in a catalog or cataloging system.
-
B.
hasTitleFrom
Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
-
C.
hasTitleOf
Indicates that one entity holds, bears, or is designated by the official title, name, or rank specified by another entity.
-
D.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another entity.
-
E.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
- F. None of above. chosen
Provenance (4 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
| PDg | Predicate description generation | batch_69f74061c440819080434155c2d60341 |
completed | May 3, 2026, 12:32 p.m. |
Created at: May 1, 2026, 1:41 a.m.