Triple
T23274236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skid |
E588371
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Mad Dog Woman |
—
|
NE NERFINISHED |
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: Mad Dog Woman | Statement: [Skid, hasPart, Mad Dog Woman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mad Dog Woman Context triple: [Skid, hasPart, Mad Dog Woman]
-
A.
“Mad Dog Woman”
chosen
“Mad Dog Woman” is a song by the Irish hard rock band Skid Row, known for its blues-influenced rock sound from the early 1970s.
-
B.
Mad Dog
Mad Dog is the vicious outlaw gunslinger and primary antagonist in the 1885 segment of the film "Back to the Future Part III."
-
C.
Mad Dogs
Mad Dogs is a British dark comedy-drama television series about a group of middle-aged friends whose holiday in Spain spirals into crime and chaos.
-
D.
Night Bitch
Night Bitch is a costumed vigilante superheroine from the Kick-Ass comic and film series, known for joining Kick-Ass’s amateur crime-fighting team.
-
E.
White Man’s Dog
White Man’s Dog is the young Blackfeet protagonist of James Welch’s novel "Fools Crow," whose coming-of-age journey unfolds amid the cultural and historical upheavals facing his people in the late 19th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f195768b1c8190ae7cbf8c316ae4dd |
completed | April 29, 2026, 5:21 a.m. |
Created at: April 17, 2026, 4:47 p.m.