Triple
T25843407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ta-Ha |
E650997
|
entity |
| Predicate | firstVerseMeaning |
P47931
|
FINISHED |
| Object | Ta-Ha (disjointed letters, meaning not definitively known) |
—
|
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: Ta-Ha (disjointed letters, meaning not definitively known) | Statement: [Ta-Ha, firstVerseMeaning, Ta-Ha (disjointed letters, meaning not definitively known)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstVerseMeaning Context triple: [Ta-Ha, firstVerseMeaning, Ta-Ha (disjointed letters, meaning not definitively known)]
-
A.
firstVerseText
Indicates the textual content that appears in the first verse of something, such as a song, poem, or hymn.
-
B.
refrainMeaning
Indicates that one entity chooses not to perform an action or avoids engaging in a particular behavior or expression.
-
C.
openingVerseTranslation
Indicates the specific translated rendering of the opening verse of a text or work.
-
D.
hasOpeningVerseMeaning
chosen
Indicates that something (such as a text, song, or poem) possesses an opening verse that conveys a particular meaning or message.
-
E.
S1Meaning
Indicates that the first subject (S1) conveys or expresses a particular meaning or sense.
- F. None of above.
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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: April 22, 2026, 7:50 a.m.