Triple
T34500815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogue of the Range |
E885743
|
entity |
| Predicate | hasTitleYearQualifier |
P108056
|
FINISHED |
| Object | 1936 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: 1936 film | Statement: [Rogue of the Range, hasTitleYearQualifier, 1936 film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleYearQualifier Context triple: [Rogue of the Range, hasTitleYearQualifier, 1936 film]
-
A.
hasYearInTitle
Indicates that the title of an entity explicitly contains a year value as part of its text.
-
B.
hasTitleSince
Indicates that an entity has held a particular title continuously starting from a specified point in time.
-
C.
EuroTitleYear
Indicates the year in which an entity received or held a specific European title or championship.
-
D.
hasCataloguedTitle
Indicates that an entity has a specific title recorded or listed in a catalog or cataloging system.
-
E.
titleYear
chosen
Indicates the specific year associated with the release, publication, or official designation of a given title.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: May 1, 2026, 2:01 a.m.