Triple
T9906016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago drill |
E185012
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
L's Anthem
"L's Anthem" is a prominent track in the Chicago drill scene, known for its raw lyrics and gritty depiction of street life.
|
E828420
|
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: L's Anthem | Statement: [Chicago drill, notableSong, L's Anthem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L's Anthem Context triple: [Chicago drill, notableSong, L's Anthem]
-
A.
State of Song
The State of Song was an ancient Chinese state during the Zhou dynasty period, historically notable as the homeland of the philosopher Zhuangzi.
-
B.
On the Line
"On the Line" is a 2001 romantic comedy film best known for starring members of the boy band *NSYNC, including Lance Bass and Joey Fatone.
-
C.
On the Line
On the Line is a critically acclaimed 2019 solo album by American singer-songwriter Jenny Lewis, blending indie rock and retro pop influences with introspective, emotionally rich lyrics.
-
D.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
E.
La La La
"La La La" is a 2013 hit single by British producer Naughty Boy featuring singer Sam Smith, known for its catchy hook and emotionally charged electronic pop sound.
- 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: L's Anthem Triple: [Chicago drill, notableSong, L's Anthem]
Generated description
"L's Anthem" is a prominent track in the Chicago drill scene, known for its raw lyrics and gritty depiction of street life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L's Anthem Target entity description: "L's Anthem" is a prominent track in the Chicago drill scene, known for its raw lyrics and gritty depiction of street life.
-
A.
State of Song
The State of Song was an ancient Chinese state during the Zhou dynasty period, historically notable as the homeland of the philosopher Zhuangzi.
-
B.
On the Line
"On the Line" is a 2001 romantic comedy film best known for starring members of the boy band *NSYNC, including Lance Bass and Joey Fatone.
-
C.
On the Line
On the Line is a critically acclaimed 2019 solo album by American singer-songwriter Jenny Lewis, blending indie rock and retro pop influences with introspective, emotionally rich lyrics.
-
D.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
E.
La La La
"La La La" is a 2013 hit single by British producer Naughty Boy featuring singer Sam Smith, known for its catchy hook and emotionally charged electronic pop sound.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50cf8808190a41e565216712704 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb316a188190a1c7fbe0d1997cf5 |
completed | April 5, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69d1ed2864108190bbeb2e38ff733773 |
completed | April 5, 2026, 5:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1edcf68c48190ba548c19042323fd |
completed | April 5, 2026, 5:06 a.m. |
Created at: March 30, 2026, 8:40 p.m.