Triple
T6347767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Gage (disambiguation) |
E142787
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | John Gage |
E142787
|
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: John Gage | Statement: [John Gage (disambiguation), hasName, John Gage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Gage Context triple: [John Gage (disambiguation), hasName, John Gage]
-
A.
John Gage
chosen
John Gage is a name shared by several notable figures, including historical politicians, diplomats, and fictional characters in film and television.
-
B.
Larry Roberts
Larry Roberts was an American actor best known for providing the voice of Tramp in Disney’s animated film "Lady and the Tramp."
-
C.
Thomas Siebel
Thomas Siebel is an American technology entrepreneur best known as the founder of Siebel Systems and later the cloud computing company C3.ai.
-
D.
Leonard Bosack
Leonard Bosack is an American computer engineer and entrepreneur best known as the co-founder of Cisco Systems, a pioneering company in computer networking and internet infrastructure.
-
E.
John J. Cisco
John J. Cisco was a 19th-century American financier and government official who served in prominent federal fiscal roles, including overseeing key customs and revenue operations in New York.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067ba2c64819094fa38bb2aeffa6c |
completed | March 22, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6044b33fc8190a214c6615d072715 |
completed | March 27, 2026, 4:15 a.m. |
Created at: March 22, 2026, 4:31 p.m.