Triple
T35056383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | See Here, Private Hargrove |
E1011476
|
entity |
| Predicate | MGMCatalogID |
P176355
|
FINISHED |
| Object | film from 1944 MGM slate |
—
|
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: film from 1944 MGM slate | Statement: [See Here, Private Hargrove, MGMCatalogID, film from 1944 MGM slate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MGMCatalogID Context triple: [See Here, Private Hargrove, MGMCatalogID, film from 1944 MGM slate]
-
A.
GNDID
Indicates a standardized authority identifier linking an entity to its unique record in the Gemeinsame Normdatei (GND) authority file.
-
B.
MICCode
Indicates the industry classification relationship between an entity and its Market Identifier Code (MIC) used to categorize its market or sector.
-
C.
identifiesWorkUniquelyWithinCatalogue
chosen
Indicates that a work is distinguished from all other works within a specific catalogue by a unique identifier or combination of attributes.
-
D.
manufacturerCode
Indicates the unique code assigned by a manufacturer to identify a specific product, component, or item it produces.
-
E.
gvpId
Indicates a unique identifier assigned to a specific instance of the given predicate or relation within a graph or dataset.
- 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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f785d16e3c819093d8324e3abea629 |
completed | May 3, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.