Triple
T35260738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Doomsday Machine |
E1018363
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Commodore Matt Decker
Commodore Matt Decker is a Starfleet officer in the Star Trek universe, best known for his tragic, obsessive attempt to destroy a planet-killing weapon in the original series episode "The Doomsday Machine."
|
E2133783
|
NE 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: Commodore Matt Decker | Statement: [The Doomsday Machine, featuresCharacter, Commodore Matt Decker]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Commodore Matt Decker Triple: [The Doomsday Machine, featuresCharacter, Commodore Matt Decker]
Generated description
Commodore Matt Decker is a Starfleet officer in the Star Trek universe, best known for his tragic, obsessive attempt to destroy a planet-killing weapon in the original series episode "The Doomsday Machine."
Provenance (5 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_69f76de4be5c8190a51705c07612cac8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f6f99f8819083a6cde4e47f8e1d |
completed | May 3, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380fb430c481908632b28532481d4f |
completed | June 21, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_6a38103c0bd881909b0e95da1efa3da9 |
completed | June 21, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3810c0f4708190ae5ac288af246fcd |
completed | June 21, 2026, 4:26 p.m. |
Created at: May 3, 2026, 4:02 p.m.