Triple
T35092482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Eddington |
E1012769
|
entity |
| Predicate | roleOnStation |
P110710
|
FINISHED |
| Object | Starfleet security officer on Deep Space 9 |
—
|
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: Starfleet security officer on Deep Space 9 | Statement: [Michael Eddington, roleOnStation, Starfleet security officer on Deep Space 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOnStation Context triple: [Michael Eddington, roleOnStation, Starfleet security officer on Deep Space 9]
-
A.
associatedWithStationRole
Indicates that an entity has a connection or involvement with a specific role or function at a station.
-
B.
roleOn
Indicates that an entity holds or performs a specific role or function within another entity, context, or activity.
-
C.
roleOnGalactica
Indicates the specific position, duty, or function an entity holds aboard the Battlestar Galactica.
-
D.
spaceStationRole
chosen
Indicates the functional role or duty an entity has in relation to a space station.
-
E.
roleInCommandStructure
Indicates that one entity holds a specific position or function within the hierarchical command structure of another entity or organization.
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:01 p.m.