Triple
T22939632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Russ |
E569684
|
entity |
| Predicate | hasMentor |
P25349
|
FINISHED |
| Object | Glenn Holland |
—
|
NE NERFINISHED |
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 Holland | Statement: [Louis Russ, hasMentor, Glenn Holland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenn Holland Context triple: [Louis Russ, hasMentor, Glenn Holland]
-
A.
Glenn Holland
chosen
Glenn Holland is the dedicated high school music teacher and composer at the heart of the film "Mr. Holland's Opus," whose life’s work becomes the impact he has on his students.
-
B.
Glenn Jordan
Glenn Jordan is an American television and film director known for his work on numerous acclaimed TV movies and miniseries, including the 1978 adaptation of Les Misérables.
-
C.
Glenn Dennis
Glenn Dennis was a New Mexico mortician and key Roswell incident witness who co-founded the International UFO Museum and Research Center in Roswell.
-
D.
Glenn Savan
Glenn Savan was an American novelist best known for his book "White Palace," which was adapted into the 1990 film of the same name.
-
E.
Glenn Williamson
Glenn Williamson is a film producer known for his work on independent and character-driven movies, including the dark comedy-drama "Sunshine Cleaning."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1813844b88190b05d3829b0c423c4 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:45 p.m.