Triple
T37911303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dark Phoenix Saga |
E945695
|
entity |
| Predicate | publishedIn |
P309
|
FINISHED |
| Object |
Uncanny X-Men #134
Uncanny X-Men #134 is a pivotal 1980 Marvel Comics issue by Chris Claremont and John Byrne that marks a key turning point in the Dark Phoenix Saga, showcasing Jean Grey’s transformation into the Dark Phoenix.
|
E2261439
|
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: Uncanny X-Men #134 | Statement: [The Dark Phoenix Saga, publishedIn, Uncanny X-Men #134]
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: Uncanny X-Men #134 Triple: [The Dark Phoenix Saga, publishedIn, Uncanny X-Men #134]
Generated description
Uncanny X-Men #134 is a pivotal 1980 Marvel Comics issue by Chris Claremont and John Byrne that marks a key turning point in the Dark Phoenix Saga, showcasing Jean Grey’s transformation into the Dark Phoenix.
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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbd5df6c8819083eecff749895763 |
completed | May 6, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41852b27208190bb5325e6fd76b7ba |
completed | June 28, 2026, 8:33 p.m. |
| NEDg | Description generation | batch_6a41896173ec8190b8efe271478129fd |
completed | June 28, 2026, 8:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41898996cc8190a9d3a6c4229b7bb4 |
completed | June 28, 2026, 8:52 p.m. |
Created at: May 3, 2026, 4:20 p.m.