Triple
T14860628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O For a Thousand Tongues to Sing |
E349476
|
entity |
| Predicate | originalNumberOfStanzas |
P1146
|
FINISHED |
| Object | 18 |
—
|
LITERAL 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: 18 | Statement: [O For a Thousand Tongues to Sing, originalNumberOfStanzas, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNumberOfStanzas Context triple: [O For a Thousand Tongues to Sing, originalNumberOfStanzas, 18]
-
A.
numberOfStanzasInOriginalPoem
chosen
Indicates the total count of stanzas contained in the poem’s original version.
-
B.
numberOfOfficialStanzas
Indicates the total count of officially recognized stanzas associated with an entity, such as a song, poem, or anthem.
-
C.
lineCountPerStanza
Indicates the number of lines contained in each stanza of a poem or song.
-
D.
numberOfCantos
Indicates the total count of cantos associated with a given work or entity.
-
E.
numberOfSonnets
Indicates the quantity of sonnets associated with a given entity.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded573cba881908d6d9ac570a64e5f |
completed | April 15, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.