Triple
T36785837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSEA Protector |
E908908
|
entity |
| Predicate | hasScienceOfficer |
P81663
|
FINISHED |
| Object | Dr. Lazarus |
—
|
NE NERFINISHED |
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: Dr. Lazarus | Statement: [NSEA Protector, hasScienceOfficer, Dr. Lazarus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScienceOfficer Context triple: [NSEA Protector, hasScienceOfficer, Dr. Lazarus]
-
A.
scienceOfficer
chosen
Indicates that one entity serves in the role or capacity of a science officer in relation to another entity.
-
B.
scienceOfficerAfterCapture
Indicates that an entity serves or is designated as a science officer only after a capture event has occurred.
-
C.
hasScience
Indicates that an entity possesses, includes, or is associated with a particular scientific discipline, content, or attribute.
-
D.
hasHumanScientistCharacter
Indicates that an entity includes or features a character who is a human scientist.
-
E.
hasScienceBody
Indicates that an entity is associated with or possesses a scientific body, such as a scientific organization, committee, or authoritative scientific group.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: May 3, 2026, 4:12 p.m.