Triple
T10113701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metzger |
E218303
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Metzgers |
E218303
|
NE 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: Metzgers | Statement: [Metzger, hasVariant, Metzgers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metzgers Context triple: [Metzger, hasVariant, Metzgers]
-
A.
Metzger
chosen
Metzger is a German-origin surname borne by various notable individuals across fields such as theology, music, and the arts.
-
B.
Katz's Delicatessen
Katz's Delicatessen is a famous New York City Jewish deli on the Lower East Side, renowned for its pastrami sandwiches and iconic appearance in popular culture.
-
C.
Canter’s Deli
Canter’s Deli is a historic, 24-hour Jewish delicatessen in Los Angeles renowned for its classic pastrami sandwiches, bakery, and role as a local cultural landmark.
-
D.
Demel
Demel is a historic and prestigious Viennese pastry shop and chocolatier renowned for its traditional cakes and confections.
-
E.
Hecht's
Hecht's was a regional department store chain in the Mid-Atlantic United States, later absorbed into Macy's.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83da93fc8190b54e44bc2b34857c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd15ffcd48190825800611aab2aab |
completed | April 2, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc20ff4481909cdd916e92eda2f6 |
completed | April 5, 2026, 8:54 p.m. |
Created at: March 30, 2026, 9:04 p.m.