Triple
T17456195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Wentz |
E425032
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
“Thnks fr th Mmrs” (lyricist)
“Thnks fr th Mmrs” is a 2007 pop-punk song by Fall Out Boy, known for its catchy chorus and emotionally charged lyrics about a failed relationship.
|
E1269845
|
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: “Thnks fr th Mmrs” (lyricist) | Statement: [Pete Wentz, notableWork, “Thnks fr th Mmrs” (lyricist)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Thnks fr th Mmrs” (lyricist) Context triple: [Pete Wentz, notableWork, “Thnks fr th Mmrs” (lyricist)]
-
A.
Chandrabose (lyricist)
Chandrabose is an Indian lyricist best known for writing numerous popular songs in Telugu cinema.
-
B.
Shankar–Ehsaan–Loy
Shankar–Ehsaan–Loy is an acclaimed Indian musical trio known for composing innovative and genre-blending soundtracks for numerous Hindi films.
-
C.
Simi
Simi is a Greek island in the Dodecanese archipelago in the southeastern Aegean Sea, near the coast of Turkey.
-
D.
Simi
"Simi" is a breakout mixtape by American rapper BlocBoy JB that helped raise his profile in the hip-hop scene.
-
E.
Simi
Simi is a Nigerian singer, songwriter, and sound engineer known for her soulful vocals and blend of Afropop, R&B, and contemporary highlife.
- 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: “Thnks fr th Mmrs” (lyricist) Triple: [Pete Wentz, notableWork, “Thnks fr th Mmrs” (lyricist)]
Generated description
“Thnks fr th Mmrs” is a 2007 pop-punk song by Fall Out Boy, known for its catchy chorus and emotionally charged lyrics about a failed relationship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “Thnks fr th Mmrs” (lyricist) Target entity description: “Thnks fr th Mmrs” is a 2007 pop-punk song by Fall Out Boy, known for its catchy chorus and emotionally charged lyrics about a failed relationship.
-
A.
Chandrabose (lyricist)
Chandrabose is an Indian lyricist best known for writing numerous popular songs in Telugu cinema.
-
B.
Shankar–Ehsaan–Loy
Shankar–Ehsaan–Loy is an acclaimed Indian musical trio known for composing innovative and genre-blending soundtracks for numerous Hindi films.
-
C.
Simi
Simi is a Greek island in the Dodecanese archipelago in the southeastern Aegean Sea, near the coast of Turkey.
-
D.
Simi
"Simi" is a breakout mixtape by American rapper BlocBoy JB that helped raise his profile in the hip-hop scene.
-
E.
Simi
Simi is a Nigerian singer, songwriter, and sound engineer known for her soulful vocals and blend of Afropop, R&B, and contemporary highlife.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45141e1d48190b7de9159f1fd71fa |
completed | April 19, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b0007a748190832a795448a1cfc4 |
completed | May 11, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_6a01b0cd1df481908c760bdfcacba496 |
completed | May 11, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b208e6d8819080a363da368ec2e9 |
completed | May 11, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:47 a.m.