Triple
T25356108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bat Out of Hell III: The Monster Is Loose |
E635824
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Bad for Good
"Bad for Good" is a rock song written by Jim Steinman, known for its dramatic, theatrical style and association with the Meat Loaf "Bat Out of Hell" universe.
|
E1492435
|
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: Bad for Good | Statement: [Bat Out of Hell III: The Monster Is Loose, hasTrack, Bad for Good]
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: Bad for Good Triple: [Bat Out of Hell III: The Monster Is Loose, hasTrack, Bad for Good]
Generated description
"Bad for Good" is a rock song written by Jim Steinman, known for its dramatic, theatrical style and association with the Meat Loaf "Bat Out of Hell" universe.
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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f49e01a244819084136599433a0ca4 |
completed | May 1, 2026, 12:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1075fd4c0081908b40904f881ea3b6 |
completed | May 22, 2026, 3:27 p.m. |
| NEDg | Description generation | batch_6a1076ba66588190bc35f122ee016bb0 |
completed | May 22, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a107788b7b88190862dc72173b63531 |
completed | May 22, 2026, 3:34 p.m. |
Created at: April 21, 2026, 1:36 p.m.