Triple
T38444675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinéad Lohan |
E906611
|
entity |
| Predicate | hasSongFeaturedOn |
P20452
|
FINISHED |
| Object |
Joan Baez album Gone From Danger
"Gone From Danger" is a 1997 folk album by Joan Baez that features contemporary singer-songwriters, including contributions from Irish artist Sinéad Lohan.
|
E2270407
|
NE FINISHED |
How this triple was built (3 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: Joan Baez album Gone From Danger | Statement: [Sinéad Lohan, hasSongFeaturedOn, Joan Baez album Gone From Danger]
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: Joan Baez album Gone From Danger Triple: [Sinéad Lohan, hasSongFeaturedOn, Joan Baez album Gone From Danger]
Generated description
"Gone From Danger" is a 1997 folk album by Joan Baez that features contemporary singer-songwriters, including contributions from Irish artist Sinéad Lohan.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSongFeaturedOn Context triple: [Sinéad Lohan, hasSongFeaturedOn, Joan Baez album Gone From Danger]
-
A.
hasFeaturedArtist
Indicates that an entity (such as a song or track) includes another artist who appears as a featured performer.
-
B.
hasSong
chosen
Indicates that one entity possesses, features, or includes a particular song.
-
C.
featuredOnSong
Indicates that an entity (such as an artist) appears as a guest or secondary contributor on a particular song.
-
D.
hasSongAbout
Indicates that one entity has created, features, or is associated with a song whose subject or theme is about another entity.
-
E.
coveredSongBy
Indicates that one musical work is a cover version performed or recorded by an artist of a song originally created or popularized by another artist.
- F. None of above.
Provenance (6 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_69f76e72878c8190a692836c8b01b58b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41c29d99608190a8fb91066aa8af9c |
completed | June 29, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_6a41c6859bf0819095f167c444ed92bc |
completed | June 29, 2026, 1:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41c72d3824819092fd95b5d41849e8 |
completed | June 29, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: May 3, 2026, 4:31 p.m.