Triple
T33640177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do What Thou Wilt. |
E861808
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Portishead in the Morning
"Portishead in the Morning" is a track from Ab-Soul’s 2016 studio album *Do What Thou Wilt.*, reflecting his dense, introspective lyricism and experimental hip-hop style.
|
E2062246
|
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: Portishead in the Morning | Statement: [Do What Thou Wilt., hasPart, Portishead in the Morning]
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: Portishead in the Morning Triple: [Do What Thou Wilt., hasPart, Portishead in the Morning]
Generated description
"Portishead in the Morning" is a track from Ab-Soul’s 2016 studio album *Do What Thou Wilt.*, reflecting his dense, introspective lyricism and experimental hip-hop style.
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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f976b3a8819085a42a11674639ce |
completed | May 3, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3627184738819084171a3bc1a569c5 |
completed | June 20, 2026, 5:37 a.m. |
| NEDg | Description generation | batch_6a36289df2dc8190a6265c22c12f5fef |
completed | June 20, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a362919e1b081909e0d3907323d4e9d |
completed | June 20, 2026, 5:46 a.m. |
Created at: May 1, 2026, 1:42 a.m.