Triple
T14026723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenn Shadix |
E337477
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Glenn |
E458737
|
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: Glenn | Statement: [Glenn Shadix, givenName, Glenn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenn Context triple: [Glenn Shadix, givenName, Glenn]
-
A.
Glenn
Glenn is a surname most prominently associated with American actor Scott Glenn, known for his roles in films such as "The Right Stuff" and "The Silence of the Lambs."
-
B.
Glenn
Glenn is the first name of Glenn Quagmire, a hyperactive, sex-obsessed neighbor character from the animated TV series "Family Guy."
-
C.
Glenn
Glenn is a small unincorporated community located within Glenn County in the state of California.
-
D.
Glenn
Glenn "Bo" Schembechler was a legendary American college football coach best known for his long and successful tenure leading the University of Michigan Wolverines.
-
E.
Glenn
chosen
Glenn is a masculine given name commonly used in English-speaking countries, often associated with figures in the arts, sports, and public life.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa830ac81908cb7df7c9e81e42a |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc333b7a08190b4f121fef69f7513 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:20 p.m.