Triple
T4358888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Zevon |
E98615
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Poor Poor Pitiful Me |
E221963
|
NE 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: Poor Poor Pitiful Me | Statement: [Warren Zevon, notableWork, Poor Poor Pitiful Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poor Poor Pitiful Me Context triple: [Warren Zevon, notableWork, Poor Poor Pitiful Me]
-
A.
Poor Poor Pitiful Me
chosen
"Poor Poor Pitiful Me" is a rock song written by Warren Zevon that became widely known through Linda Ronstadt’s hit 1977 cover version.
-
B.
Poor Me
"Poor Me" is a hit 1959 pop single by British singer Adam Faith that helped establish his early chart success.
-
C.
Down and Out
"Down and Out" is a popular hip-hop track by rapper Cam'ron, known for its soulful production and standout status in his discography.
-
D.
Poor People
Poor People is a nonfiction book by William T. Vollmann that examines global poverty through on-the-ground interviews, reportage, and philosophical reflection.
-
E.
Give Me Pity!
Give Me Pity! is a 2022 surreal, one-woman televised variety-show-style film directed by Amanda Kramer and starring Sophie von Haselberg as a desperate performer whose glitzy TV special gradually descends into psychological horror.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e1bfa48190bb506d9ca1ed7b6a |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbbcb6188190a8a4da6a080f0d61 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:16 p.m.