Triple
T16339866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan E. Nourse |
E396768
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Nourse |
E25949
|
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: Nourse | Statement: [Alan E. Nourse, familyName, Nourse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nourse Context triple: [Alan E. Nourse, familyName, Nourse]
-
A.
Nourse
chosen
Nourse is a surname and variant spelling of "Nurse," historically associated with English-speaking families and occasionally used as a place or business name.
-
B.
Redfield
Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Colwell
Colwell is a surname most notably associated with Rita R. Colwell, an influential American microbiologist and former director of the U.S. National Science Foundation.
-
D.
Nuska
Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
-
E.
Burkholder
Burkholder is a surname most notably associated with American actor Max Burkholder, known for his roles in film and television.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da08fbc88190a31127d10ca633d6 |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261b31c08190908a72bff20871be |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.