Triple
T4847404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamer |
E108324
|
entity |
| Predicate | writtenForm |
P2203
|
FINISHED |
| Object | Hamer |
E386662
|
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: Hamer | Statement: [Hamer, writtenForm, Hamer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamer Context triple: [Hamer, writtenForm, Hamer]
-
A.
Hamer
Hamer is the surname of Fannie Lou Hamer, the prominent American civil rights activist and voting rights leader.
-
B.
Hamer
chosen
Hamer is an Omotic language spoken primarily by the Hamer people of southwestern Ethiopia.
-
C.
Hammer
Hammer is a hand tool with a heavy head used primarily for driving nails, breaking objects, and shaping materials.
-
D.
The Hammer
The Hammer is the nickname of mixed martial artist and former UFC champion Matt Hamilton, known for his powerful striking style.
-
E.
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.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d1aefdc8190910b78615730f991 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cd6dbcc8190b802eeb6d74fd37d |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:25 p.m.