Triple
T13349761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace Hopper |
E318039
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Amazing Grace |
E318039
|
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: Amazing Grace | Statement: [Grace Hopper, hasNickname, Amazing Grace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazing Grace Context triple: [Grace Hopper, hasNickname, Amazing Grace]
-
A.
Amazing Grace
Amazing Grace is a 2006 historical drama film about British abolitionist William Wilberforce’s campaign to end the slave trade.
-
B.
Amazing Grace
chosen
Amazing Grace is the affectionate nickname of pioneering computer scientist and U.S. Navy rear admiral Grace Hopper, renowned for her foundational work in programming languages and software development.
-
C.
Amazing Grace
Amazing Grace is a widely beloved Christian hymn, written in the 18th century, known for its powerful message of redemption and divine mercy.
-
D.
How Great Thou Art
"How Great Thou Art" is a renowned Christian hymn of praise that exalts God's majesty and saving power.
-
E.
Grace (song)
"Grace" is a critically acclaimed 1994 rock ballad by Jeff Buckley, renowned for its soaring vocals, intricate guitar work, and emotional intensity.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8b28e48190a23194e03a74b41b |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f47fd7c8190b8d98a181acd7710 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.