Triple
T6661435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Joseph Savage |
E151485
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Savage |
E292177
|
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: Savage | Statement: [Michael Joseph Savage, familyName, Savage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savage Context triple: [Michael Joseph Savage, familyName, Savage]
-
A.
Savage
"Savage" is a hit hip-hop single by Megan Thee Stallion that gained widespread popularity, especially through viral dance challenges on social media.
-
B.
Savage
chosen
Savage is the surname of Nigerian singer, songwriter, and actress Tiwa Savage, a prominent figure in contemporary Afrobeats music.
-
C.
Slaughter
Slaughter is the surname of Louise Slaughter, a long-serving American congresswoman known for her work on health care, ethics, and women's rights.
-
D.
The Violent Ones
The Violent Ones is a crime novel by E. Howard Hunt that reflects his hardboiled, politically tinged storytelling style.
-
E.
Vicious
Vicious is a hip-hop artist known for collaborating with The Hip-Hop Violinist on genre-blending tracks.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0737cb08190ad455b48fd30eec8 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0a0c208190ac6a309bfb2e4e4b |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:02 p.m.