Triple
T12143322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Miner |
E289247
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Miner |
E121932
|
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: Miner | Statement: [Harold Miner, familyName, Miner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miner Context triple: [Harold Miner, familyName, Miner]
-
A.
Miner
chosen
Miner is a surname of English origin historically associated with the occupation of mining.
-
B.
Miners
Miners is the nickname for the University of Texas at El Paso’s athletic teams, most prominently its NCAA Division I football program.
-
C.
the Miner
The Miner is a menacing, possibly murderous figure who stalks and endangers Sarah Palmer.
-
D.
Prospector Pete
Prospector Pete was the longtime gold miner–themed mascot of California State University, Long Beach, retired amid criticism of its association with the California Gold Rush and its impact on Indigenous peoples.
-
E.
Minning
Minning was the personal name of the Daoguang Emperor, a Qing dynasty ruler of China in the early to mid-19th century.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915aacaa08190b31f54e230334406 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69501348190a9ac090c7db37c20 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.