Triple
T8401360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amber Hagerman |
E198378
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hagerman |
E300438
|
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: Hagerman | Statement: [Amber Hagerman, familyName, Hagerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hagerman Context triple: [Amber Hagerman, familyName, Hagerman]
-
A.
Hagerman
chosen
Hagerman is a small town in southeastern New Mexico, known for its agricultural community and location along the Pecos River.
-
B.
Holladay
Holladay is a suburban city in the Salt Lake City metropolitan area in northern Utah, known for its residential neighborhoods and proximity to the Wasatch Mountains.
-
C.
Hinson
Hinson is a surname most notably associated with former professional basketball player Roy Hinson.
-
D.
McDermitt
McDermitt is a small unincorporated community and former mining town that straddles the Nevada–Oregon border in the northern Great Basin region.
-
E.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb824da3148190bfa3a1abfdfa02de |
completed | March 31, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde8789a608190a3503f544a19d204 |
completed | April 2, 2026, 3:54 a.m. |
Created at: March 30, 2026, 6:04 p.m.