Triple
T3281095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go Tell It on the Mountain |
E68872
|
entity |
| Predicate | centralCharacter |
P9202
|
FINISHED |
| Object | John Grimes |
E259271
|
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 Grimes | Statement: [Go Tell It on the Mountain, centralCharacter, John Grimes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Grimes Context triple: [Go Tell It on the Mountain, centralCharacter, John Grimes]
-
A.
John Grimes
chosen
John Grimes is a fictional U.S. Army Ranger private depicted as a young, relatively inexperienced soldier thrust into intense urban combat in the film "Black Hawk Down."
-
B.
Eric Blore
Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
-
C.
Glenn Shadix
Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
-
D.
Alex Graves
Alex Graves is a computer scientist and machine learning researcher known for his influential work on recurrent neural networks, deep reinforcement learning, and sequence modeling.
-
E.
Alexander Rose
Alexander Rose is a historian and author best known for his book "Washington's Spies," which inspired the television series "Turn: Washington's Spies."
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb032d76c81909c568a4e56d12ce9 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e851d2bc8190ba887cd1c81c880d |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:10 p.m.