Triple
T31926582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DC Young Animal |
E815129
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Green Lantern Sojourner "Jo" Mullein
Green Lantern Sojourner "Jo" Mullein is a relatively new DC Comics Green Lantern, introduced as a former cop turned space-sector protector known for her investigative skills, social consciousness, and starring role in the acclaimed series Far Sector.
|
E1983881
|
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: Green Lantern Sojourner "Jo" Mullein | Statement: [DC Young Animal, featuresCharacter, Green Lantern Sojourner "Jo" Mullein]
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: Green Lantern Sojourner "Jo" Mullein Triple: [DC Young Animal, featuresCharacter, Green Lantern Sojourner "Jo" Mullein]
Generated description
Green Lantern Sojourner "Jo" Mullein is a relatively new DC Comics Green Lantern, introduced as a former cop turned space-sector protector known for her investigative skills, social consciousness, and starring role in the acclaimed series Far Sector.
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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b225c0bc8190bdfa4cae44505edf |
completed | May 3, 2026, 2:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e8a38066081909fc1b8046f6ca558 |
completed | June 14, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_6a2e8ad753688190829398ff32cf09e8 |
completed | June 14, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2e8b9c48a48190a1c5bef0fe49f633 |
completed | June 14, 2026, 11:08 a.m. |
Created at: May 1, 2026, 12:03 a.m.