Triple
T35469078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaylee Frye |
E1025159
|
entity |
| Predicate | roleOnSerenity |
P165140
|
FINISHED |
| Object | ship's engineer |
—
|
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: ship's engineer | Statement: [Kaylee Frye, roleOnSerenity, ship's engineer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOnSerenity Context triple: [Kaylee Frye, roleOnSerenity, ship's engineer]
-
A.
roleOn
chosen
Indicates that an entity holds or performs a specific role or function within another entity, context, or activity.
-
B.
roleOnPern
Indicates the specific function, position, or duty an entity holds within the context of Pern.
-
C.
servesRole
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
-
D.
roleOnLine1
Indicates that an entity holds a specific role or function associated with the first line of a multi-line structure or sequence.
-
E.
roleAccordingTo
Indicates that an entity holds a particular role or function as defined or interpreted by a specified source or perspective.
- 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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:04 p.m.