Triple
T10437574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Psalms |
E246081
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Wait |
E439827
|
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: Wait | Statement: [Seven Psalms, hasPart, Wait]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wait Context triple: [Seven Psalms, hasPart, Wait]
-
A.
Wait
chosen
"Wait" is a song by the Beatles, featured on their 1965 album Rubber Soul.
-
B.
Wait
Wait is a given name historically used in English-speaking contexts, notably in early colonial America.
-
C.
Waits
Waits is the surname of American singer-songwriter, composer, and actor Tom Waits, known for his distinctive gravelly voice and eclectic, experimental style.
-
D.
WAITS
WAITS was an influential time-sharing operating system developed at Stanford University for the DEC PDP-10, notable for its advanced interactive computing and research-oriented features in the 1970s and 1980s.
-
E.
WaitWhat
WaitWhat is a media company known for creating innovative, narrative-driven podcasts and digital content, including the business podcast "Masters of Scale."
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea853c308190be95ae8dffe67ac1 |
completed | April 7, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eccf4908190b16b82abfb0b8d43 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:14 p.m.