Triple
T13982486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellie Greenwich |
E336345
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Do Wah Diddy Diddy |
E783268
|
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: Do Wah Diddy Diddy | Statement: [Ellie Greenwich, notableWork, Do Wah Diddy Diddy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Do Wah Diddy Diddy Context triple: [Ellie Greenwich, notableWork, Do Wah Diddy Diddy]
-
A.
Do Wah Diddy Diddy
chosen
"Do Wah Diddy Diddy" is a 1964 pop hit, originally by The Exciters and made internationally famous by Manfred Mann, known for its catchy chorus and upbeat, sing-along style.
-
B.
Dum Dum Diddle
"Dum Dum Diddle" is a pop song by the Swedish group ABBA from their 1976 album "Arrival."
-
C.
Dum Diddly
"Dum Diddly" is a pop song by the Black Eyed Peas from their 2005 album "Monkey Business."
-
D.
Doo Be Doo
"Doo Be Doo" is a popular, upbeat pop song by South African band Freshlyground, known for its catchy melody and optimistic, socially conscious lyrics.
-
E.
Shoo-Be-Doo-Be-Doo-Da-Day
"Shoo-Be-Doo-Be-Doo-Da-Day" is a 1968 Motown soul single by Stevie Wonder, noted for its upbeat groove and inventive vocal style.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea2e8808190a1203a6386224bd8 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1e5f2008190a0701ae37ed5219d |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.