Triple
T15433651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MC Hammer |
E369701
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Hammer |
E185236
|
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: Hammer | Statement: [MC Hammer, stageName, Hammer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hammer Context triple: [MC Hammer, stageName, Hammer]
-
A.
Hammer
chosen
Hammer is a hand tool with a heavy head used primarily for driving nails, breaking objects, and shaping materials.
-
B.
The Hammer
The Hammer is a popular nickname for the Canadian city of Hamilton, Ontario, reflecting its gritty, industrial character and strong working-class identity.
-
C.
The Hammer
The Hammer is the nickname of Hank Aaron, the legendary Major League Baseball slugger who broke Babe Ruth’s career home run record.
-
D.
The Hammer
The Hammer is the nickname of American curler Matt Hamilton, known for his powerful shots and distinctive personality on the ice.
-
E.
The Hammer
The Hammer is the nickname of Dave Schultz, a hard-hitting former NHL enforcer best known for his physical play with the Philadelphia Flyers in the 1970s.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eda01cc8190843e23b260b8503c |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a8546948190a69ae1306bc19c64 |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 10, 2026, 3:21 a.m.