Triple
T31293878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smoothfield Holding Limited |
E798021
|
entity |
| Predicate | roleInMitchellsAndButlers |
P200753
|
FINISHED |
| Object | significant shareholder |
—
|
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: significant shareholder | Statement: [Smoothfield Holding Limited, roleInMitchellsAndButlers, significant shareholder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMitchellsAndButlers Context triple: [Smoothfield Holding Limited, roleInMitchellsAndButlers, significant shareholder]
-
A.
roleAtFoursquare
Indicates the specific role or position an entity holds at Foursquare.
-
B.
roleInTheGrandBudapestHotel
Indicates that an entity has a specific role or part in the context of "The Grand Budapest Hotel" (such as a character, performer, or production role).
-
C.
roleInBalmain
Indicates that an entity holds or has held a specific role or position within the Balmain fashion house or brand.
-
D.
roleAtStrawberryHill
Indicates that an entity holds or held a specific role or position at Strawberry Hill.
-
E.
roleInMATE
Indicates that an entity participates in a MATE (Modeling and Analysis of Telecommunication Systems) context with a specific functional or contextual role.
- 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_69f224dfde288190af313f3c221c857e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ffab5adf2c819084700c5ea34615bf |
completed | May 9, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69ffaabffa208190b5214ca17cc8a5ea |
completed | May 9, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69ffab59fe408190b72f13016de9953c |
completed | May 9, 2026, 9:47 p.m. |
Created at: April 29, 2026, 9:14 p.m.