Triple
T2230508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton |
E48751
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Burn |
E180764
|
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: Burn | Statement: [Hamilton, notableSong, Burn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burn Context triple: [Hamilton, notableSong, Burn]
-
A.
Burn
Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
-
B.
Burn
chosen
"Burn" is a hit pop and EDM-influenced song co-written and produced by Ryan Tedder, best known for being performed by British singer Ellie Goulding.
-
C.
Burns
Burns is a common Scottish surname most famously associated with the poet Robert Burns.
-
D.
Ya Burnt
"Ya Burnt" is a recurring comedic rant segment on Late Night with Seth Meyers in which Meyers humorously calls out and "burns" various topics, trends, and public figures.
-
E.
Let Her Burn
Let Her Burn is a 2023 electropop EP by American singer Rebecca Black that marks her critically acclaimed reinvention with darker, more experimental pop sounds.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc069e0ac8190bcda8cba9f5c7a5d |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae656a1f788190a08c3283bfedb6f4 |
completed | March 9, 2026, 6:15 a.m. |
Created at: March 4, 2026, 7:47 p.m.