Triple
T1508636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Met |
E33959
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Mrs. Met |
E173150
|
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: Mrs. Met | Statement: [Mr. Met, associatedWith, Mrs. Met]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs. Met Context triple: [Mr. Met, associatedWith, Mrs. Met]
-
A.
Mrs. Met
chosen
Mrs. Met is the female mascot of the New York Mets baseball team, often depicted alongside Mr. Met as his wife and partner in team promotions and ballpark entertainment.
-
B.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
C.
Mabel Grex
Mabel Grex is a central fictional character in Anthony Trollope’s novel "The Duke's Children," known for her beauty, charm, and complex romantic entanglements within high society.
-
D.
Mildred Spiewak
Mildred Spiewak was the birth name of Mildred Dresselhaus, a pioneering American physicist renowned for her groundbreaking work in carbon science and nanotechnology.
-
E.
Penny Wheep
Penny Wheep is a poetry collection by Scottish modernist writer Hugh MacDiarmid that reflects his innovative use of Scots language and exploration of national and social themes.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8891daf708190a23d6c920eac8b6d |
completed | March 4, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad294805308190ada3ed69ec71ce43 |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 4, 2026, 7:24 p.m.