Triple
T10716258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirrty |
E252678
|
entity |
| Predicate | songwriter |
P1141
|
FINISHED |
| Object | Craig Michael Brockman |
E252678
|
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: Craig Michael Brockman | Statement: [Dirrty, songwriter, Craig Michael Brockman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Michael Brockman Context triple: [Dirrty, songwriter, Craig Michael Brockman]
-
A.
Craig Michael Brockman
chosen
Craig Michael Brockman is a songwriter best known for co-writing Christina Aguilera’s hit single "Dirrty."
-
B.
Eric Falkenstein
Eric Falkenstein is a theater and film producer known for backing notable stage productions such as the play "Lucky Guy."
-
C.
Harry Dreyfuss
Harry Dreyfuss is an American writer and actor known for his essays, political commentary, and for speaking publicly about his experiences with harassment in the entertainment industry.
-
D.
Conrad Dobler
Conrad Dobler was a hard-nosed NFL offensive lineman best known for his aggressive, often controversial play with the St. Louis Cardinals in the 1970s.
-
E.
John Winger
John Winger is the wisecracking, laid-back Army recruit played by Bill Murray in the 1981 comedy film "Stripes."
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3320448190899c56b02a7f5ffa |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d999278b8481909bc4e849b9580eb7 |
completed | April 11, 2026, 12:43 a.m. |
Created at: April 8, 2026, 9:13 p.m.