Triple
T25225699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Hobbes |
E632080
|
entity |
| Predicate | relationshipStatusWith Kathryn Janeway |
P180584
|
FINISHED |
| Object | engaged (at start of Star Trek: Voyager) |
—
|
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: engaged (at start of Star Trek: Voyager) | Statement: [Mark Hobbes, relationshipStatusWith Kathryn Janeway, engaged (at start of Star Trek: Voyager)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStatusWith Kathryn Janeway Context triple: [Mark Hobbes, relationshipStatusWith Kathryn Janeway, engaged (at start of Star Trek: Voyager)]
-
A.
relationshipStatusWithJackSparrow
Indicates the type or state of a subject’s personal relationship with Jack Sparrow.
-
B.
relationshipTypeWithKatnissEverdeen
Indicates the type or nature of the relationship an entity has with Katniss Everdeen.
-
C.
relationshipStatusWithJane
Indicates the current nature or state of an entity’s personal relationship with Jane.
-
D.
relationshipToMarkWatney
Indicates the specific type of personal or social relationship an entity has with Mark Watney.
-
E.
relationshipWithKateBeckett
Indicates that there exists a personal or professional relationship involving Kate Beckett and another entity.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 21, 2026, 1:03 p.m.