Triple
T12901500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neelix |
E308621
|
entity |
| Predicate | roleOnVoyager |
P107347
|
FINISHED |
| Object | morale officer |
—
|
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: morale officer | Statement: [Neelix, roleOnVoyager, morale officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOnVoyager Context triple: [Neelix, roleOnVoyager, morale officer]
-
A.
roleOnAtlasV
Indicates that an entity holds a specific role or function in relation to the Atlas V launch vehicle or program.
-
B.
roleInAdministration
Indicates that an entity holds a specific position or function within an administrative structure or governing body.
-
C.
libraryRole
Indicates the specific function, responsibility, or position an entity holds within the context of a library.
-
D.
authorityRole
Indicates that one entity holds an official position or role that grants it authority or control over another entity or within a specific context.
-
E.
ClientRole
Indicates that an entity participates in a relationship or interaction specifically in the capacity of a client.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97180ee708190b60a3e58c42f764f |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:40 p.m.