Triple
T26510964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellis Grey |
E669680
|
entity |
| Predicate | hasMedicalReputation |
P93104
|
FINISHED |
| Object | renowned surgeon |
—
|
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: renowned surgeon | Statement: [Ellis Grey, hasMedicalReputation, renowned surgeon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMedicalReputation Context triple: [Ellis Grey, hasMedicalReputation, renowned surgeon]
-
A.
hasProfessionalReputationFor
Indicates that an entity is recognized by others as being notably associated with a particular professional quality, skill, or behavior.
-
B.
publicHealthReputation
Indicates the perceived standing or esteem of an entity regarding its impact on and responsibility for public health.
-
C.
hasMedicalRank
Indicates that one entity holds a specific medical rank, position, or professional standing within a medical hierarchy relative to another entity or system.
-
D.
hasNotableReputation
Indicates that an entity is widely recognized or distinguished for a particular quality, achievement, or characteristic.
-
E.
haveReputation
chosen
Indicates that an entity is recognized or regarded in a certain way by others, reflecting its perceived character, quality, or status.
- F. None of above.
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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 27, 2026, 1:20 a.m.