Triple
T8776898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Me Too |
E208606
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Hot Damn |
E756456
|
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: Hot Damn | Statement: [Mr. Me Too, precededBy, Hot Damn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot Damn Context triple: [Mr. Me Too, precededBy, Hot Damn]
-
A.
Hot Damn
chosen
Hot Damn is a hip hop song by Clipse known for its gritty production and sharp, boastful lyricism.
-
B.
So Damn Happy
So Damn Happy is a live album by American singer-songwriter Loudon Wainwright III, showcasing his witty, autobiographical folk songs and storytelling performances.
-
C.
Too Darn Hot
"Too Darn Hot" is a popular jazz-standard show tune by Cole Porter, originally written for the 1948 musical *Kiss Me, Kate* and later widely recorded by prominent vocalists.
-
D.
Dammit
"Dammit" is a fast-paced pop-punk song by Blink-182, widely recognized as one of their breakout hits from the late 1990s.
-
E.
Lit Up
"Lit Up" is a song by the American rock band Alligator.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f5086088190b317cf2aac7bee83 |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f33ca1081908d65d14c83199c5a |
completed | April 3, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:42 p.m.