Triple
T15798786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gossip |
E383044
|
entity |
| Predicate | song |
P20452
|
FINISHED |
| Object |
Listen Up!
"Listen Up!" is a song by the American pop rock band The Gossip, known for their raw, dance-punk energy and Beth Ditto’s powerful vocals.
|
E1177174
|
NE FINISHED |
How this triple was built (4 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: Listen Up! | Statement: [The Gossip, song, Listen Up!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Listen Up! Context triple: [The Gossip, song, Listen Up!]
-
A.
Listen to Me
"Listen to Me" is a crime thriller novel by Tess Gerritsen featuring her popular Rizzoli & Isles characters in a tense investigation that intertwines neighborhood secrets with a complex murder case.
-
B.
Listen to Me
"Listen to Me" is a 1989 American drama film about a college debate team, notable for featuring Jason Gould among its cast.
-
C.
Hear It
Hear It is a track from the album "Song of Seven" by Jon Anderson, known for its melodic, progressive rock style.
-
D.
R U Listening
R U Listening is a track featured on the album "Made in Brooklyn" by Masta Killa.
-
E.
Make Them Hear You
"Make Them Hear You" is a powerful, politically charged anthem from the musical *Ragtime* that urges oppressed people to demand justice through their voices and actions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Listen Up! Triple: [The Gossip, song, Listen Up!]
Generated description
"Listen Up!" is a song by the American pop rock band The Gossip, known for their raw, dance-punk energy and Beth Ditto’s powerful vocals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Listen Up! Target entity description: "Listen Up!" is a song by the American pop rock band The Gossip, known for their raw, dance-punk energy and Beth Ditto’s powerful vocals.
-
A.
Listen to Me
"Listen to Me" is a crime thriller novel by Tess Gerritsen featuring her popular Rizzoli & Isles characters in a tense investigation that intertwines neighborhood secrets with a complex murder case.
-
B.
Listen to Me
"Listen to Me" is a 1989 American drama film about a college debate team, notable for featuring Jason Gould among its cast.
-
C.
Hear It
Hear It is a track from the album "Song of Seven" by Jon Anderson, known for its melodic, progressive rock style.
-
D.
R U Listening
R U Listening is a track featured on the album "Made in Brooklyn" by Masta Killa.
-
E.
Make Them Hear You
"Make Them Hear You" is a powerful, politically charged anthem from the musical *Ragtime* that urges oppressed people to demand justice through their voices and actions.
- F. None of above. chosen
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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4e00d348190bc98917c4098ec2f |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90b08ab48190892c700f5eb261d8 |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff936cbbc8819097958ac02673a474 |
completed | May 9, 2026, 8:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff93ed15ec8190b9361f7ad4c7e447 |
completed | May 9, 2026, 8:07 p.m. |
Created at: April 10, 2026, 4:48 a.m.