Triple
T25986514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xindi conflict |
E646215
|
entity |
| Predicate | concludesInEpisode |
P128675
|
FINISHED |
| Object |
"Zero Hour"
"Zero Hour" is the climactic season-three finale of Star Trek: Enterprise that depicts the resolution of the Xindi conflict and sets up major changes for the series.
|
E1706018
|
NE FINISHED |
How this triple was built (3 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: "Zero Hour" | Statement: [Xindi conflict, concludesInEpisode, "Zero Hour"]
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: "Zero Hour" Triple: [Xindi conflict, concludesInEpisode, "Zero Hour"]
Generated description
"Zero Hour" is the climactic season-three finale of Star Trek: Enterprise that depicts the resolution of the Xindi conflict and sets up major changes for the series.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concludesInEpisode Context triple: [Xindi conflict, concludesInEpisode, "Zero Hour"]
-
A.
concludesIn
chosen
Indicates that an event, process, or action ends or reaches its final state within a specified time, place, or context.
-
B.
endOfEpisodeOutcome
Indicates the result or consequence that occurs at the conclusion of an episode or event sequence.
-
C.
appearsInEpilogueOf
Indicates that one entity is featured or present in the epilogue section of another entity (such as a story, book, film, or other narrative work).
-
D.
concludesStoryOf
Indicates that one entity brings the narrative or storyline of another entity to an end.
-
E.
canBeConcludedWith
Indicates that one situation, process, or sequence is able to be finished, resolved, or brought to an end by another specified action or condition.
- F. None of above.
Provenance (6 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605446ca48190907baef523f13ccf |
completed | May 2, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a110791c08481909d63270a8f9bedb3 |
completed | May 23, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_6a110ca567a8819080f28c941fca8d21 |
completed | May 23, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a110eda5c78819097efd768ec2f14fc |
completed | May 23, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:55 a.m.