Triple
T19268753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wah-Wah Diaries |
E481859
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | Wah-Wah |
—
|
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: Wah-Wah | Statement: [The Wah-Wah Diaries, relatedWork, Wah-Wah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wah-Wah Context triple: [The Wah-Wah Diaries, relatedWork, Wah-Wah]
-
A.
Wah-Wah
chosen
Wah-Wah is a semi-autobiographical 2005 British drama film set in 1960s Swaziland, marking Richard E. Grant’s directorial debut.
-
B.
The Mighty Wah!
The Mighty Wah! is a British post-punk/new wave band led by singer-songwriter Pete Wylie, known for its politically charged lyrics and anthemic 1980s singles like "The Story of the Blues."
-
C.
Wail
Wail is an Arabic male given name that can be translated as "one who returns for protection" or "seeker of refuge."
-
D.
Whoa
"Whoa" is a soulful R&B single by Swedish singer Snoh Aalegra, known for its lush production and emotive vocals that helped elevate her international profile.
-
E.
Whoa
"Whoa" is a song released as a single from the work titled "The Naked Truth."
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb68d0c819083ba0ce680dd7d99 |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.