Triple
T22653628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Randolph Ackerley |
E559160
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | My Dog Tulip |
—
|
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: My Dog Tulip | Statement: [Joe Randolph Ackerley, notableWork, My Dog Tulip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Dog Tulip Context triple: [Joe Randolph Ackerley, notableWork, My Dog Tulip]
-
A.
My Dog Tulip
chosen
My Dog Tulip is a memoir by J. R. Ackerley that recounts his deeply personal, often humorous, and unconventional relationship with his beloved Alsatian dog.
-
B.
The Dog in Me
The Dog in Me is a song featured on the album "Beware of Dog" by rapper Lil' Bow Wow.
-
C.
A Little Yellow Dog
A Little Yellow Dog is a crime novel by Walter Mosley featuring his iconic private investigator Easy Rawlins in a mystery set in 1960s Los Angeles.
-
D.
The Dog
The Dog is a nickname for Earl Simmons, better known as the influential American rapper and actor DMX.
-
E.
The Dog
"The Dog" is a song by Red Hot Chili Peppers featured on their 2022 double album project, specifically included on the album "Return of the Dream Canteen."
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17659e4dc81909cf6943c1c986ef9 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:06 p.m.