Triple
T38414558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No One Is to Blame |
E901568
|
entity |
| Predicate | hasMemorableLyric |
P201028
|
FINISHED |
| Object | You can look at the menu but you just can’t eat |
—
|
LITERAL 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: You can look at the menu but you just can’t eat | Statement: [No One Is to Blame, hasMemorableLyric, You can look at the menu but you just can’t eat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemorableLyric Context triple: [No One Is to Blame, hasMemorableLyric, You can look at the menu but you just can’t eat]
-
A.
hasSongAbout
Indicates that one entity has created, features, or is associated with a song whose subject or theme is about another entity.
-
B.
hasLyricalWritingFor
Indicates that one entity provides or is characterized by lyrical or poetic writing created for another entity.
-
C.
hasWittyLyrics
Indicates that the subject contains or is characterized by clever, humorous, or sharply amusing lyrics.
-
D.
hasEnigmaticLyrics
Indicates that the lyrics associated with an entity are mysterious, obscure, or difficult to interpret.
-
E.
hasLyricsMentioning
Indicates that the referenced lyrics explicitly mention or refer to the specified entity.
- F. None of above. chosen
Provenance (4 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffc1550cb481908628e446d9b67f7b |
completed | May 9, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69ffc10a74708190ae90e2c378791f70 |
completed | May 9, 2026, 11:19 p.m. |
| PDg | Predicate description generation | batch_69ffc15434c8819093aa3b33813613be |
completed | May 9, 2026, 11:20 p.m. |
Created at: May 3, 2026, 4:31 p.m.