Triple
T14901304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Helena Russell |
E360008
|
entity |
| Predicate | hasMedicalRank |
P116592
|
FINISHED |
| Object | head of medical section on Moonbase Alpha |
—
|
LITERAL 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: head of medical section on Moonbase Alpha | Statement: [Dr. Helena Russell, hasMedicalRank, head of medical section on Moonbase Alpha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMedicalRank Context triple: [Dr. Helena Russell, hasMedicalRank, head of medical section on Moonbase Alpha]
-
A.
equivalentRankInUSPublicHealthService
Indicates that two positions or ranks are considered equivalent in status or level within the U.S. Public Health Service.
-
B.
hasMedicalCorps
Indicates that an entity possesses, maintains, or is associated with an organized medical corps or medical service unit.
-
C.
medicalQualificationFrom
Indicates that a person or medical professional obtained their medical qualification or degree from a specified institution or source.
-
D.
isMilitaryRank
Indicates that one entity holds a specific position or level within a formal military hierarchy in relation to another.
-
E.
hasGeneralOfficerRank
Indicates that an entity holds a military rank at the general officer level.
- F. None of above. chosen
Provenance (4 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded609bf68819099ca3aa3fe1acadc |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:11 a.m.