Triple
T37714303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The One |
E939418
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Rick Veitch
Rick Veitch is an American comic book writer and artist known for his surreal, often subversive work on titles like Swamp Thing, Brat Pack, and various independent and mainstream graphic novels.
|
E2240778
|
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: Rick Veitch | Statement: [The One, creator, Rick Veitch]
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: Rick Veitch Triple: [The One, creator, Rick Veitch]
Generated description
Rick Veitch is an American comic book writer and artist known for his surreal, often subversive work on titles like Swamp Thing, Brat Pack, and various independent and mainstream graphic novels.
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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbae4c98c88190b308a2c86a02133b |
completed | May 6, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40d6768e4081909442f234493dd870 |
completed | June 28, 2026, 8:08 a.m. |
| NEDg | Description generation | batch_6a40d8377e908190b51918a884c27877 |
completed | June 28, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40d8ab9d7c81909a68d3dcaea40b89 |
completed | June 28, 2026, 8:17 a.m. |
Created at: May 3, 2026, 4:18 p.m.