Triple
T16897162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minor Hubbell Keith |
E424335
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Hubbell |
E904141
|
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: Hubbell | Statement: [Minor Hubbell Keith, middleName, Hubbell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hubbell Context triple: [Minor Hubbell Keith, middleName, Hubbell]
-
A.
Hubbell
chosen
Hubbell is a surname most famously associated with Carl Hubbell, a Hall of Fame Major League Baseball pitcher known for his dominant screwball in the 1930s.
-
B.
Hubbell & Benes
Hubbell & Benes was a prominent early 20th-century Cleveland architectural firm known for designing major civic and cultural landmarks in the city.
-
C.
Hager
Hager is the surname of Jenna Bush Hager, an American television personality, author, and daughter of former U.S. President George W. Bush.
-
D.
Eaton’s
Eaton’s was a major Canadian department store chain that became a retail icon and helped shape downtown shopping districts across the country.
-
E.
Blackmer
Blackmer is a surname most notably associated with American actor Sidney Blackmer, known for his work on stage and in film during the mid-20th century.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8d880208190ad2b2c8616b54ea3 |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7ad473081908b1c1d9524cf64a6 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.