Triple
T27350622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zen Arcade |
E684348
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Beyond the Threshold
"Beyond the Threshold" is a track from Hüsker Dü’s influential 1984 punk/alternative rock concept album "Zen Arcade."
|
E1767190
|
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: Beyond the Threshold | Statement: [Zen Arcade, hasPart, Beyond the Threshold]
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: Beyond the Threshold Triple: [Zen Arcade, hasPart, Beyond the Threshold]
Generated description
"Beyond the Threshold" is a track from Hüsker Dü’s influential 1984 punk/alternative rock concept album "Zen Arcade."
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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62ba76b9881908e2d1e8926243416 |
completed | May 2, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a129ccd6fc08190adb59b21555f7029 |
completed | May 24, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a129da51ce08190b85045a3d378c25f |
completed | May 24, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a129e3138ac8190acdda9aff6f9fc88 |
completed | May 24, 2026, 6:44 a.m. |
Created at: April 27, 2026, 11:48 a.m.