Triple
T29051087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakaar (Marvel Comics) |
E735262
|
entity |
| Predicate | notableLocation |
P3858
|
FINISHED |
| Object |
Great Arena
The Great Arena is a massive gladiatorial coliseum on the planet Sakaar in Marvel Comics, where powerful combatants are forced to battle for the entertainment of the ruling elite.
|
E1847311
|
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: Great Arena | Statement: [Sakaar (Marvel Comics), notableLocation, Great Arena]
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: Great Arena Triple: [Sakaar (Marvel Comics), notableLocation, Great Arena]
Generated description
The Great Arena is a massive gladiatorial coliseum on the planet Sakaar in Marvel Comics, where powerful combatants are forced to battle for the entertainment of the ruling elite.
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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66065c17081908a0bb6b8a7f16558 |
completed | May 2, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a251f77b5888190911f271c7d2f2f8c |
completed | June 7, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a2523ff3900819093dcccd970c9cea5 |
completed | June 7, 2026, 7:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2527e464508190a8e46b839fca593d |
completed | June 7, 2026, 8:12 a.m. |
Created at: April 28, 2026, 10:08 a.m.