Triple
T27618965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O Tannenbaum |
E700516
|
entity |
| Predicate | hasEarliestKnownLyricsDate |
P149008
|
FINISHED |
| Object | 16th century |
—
|
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: 16th century | Statement: [O Tannenbaum, hasEarliestKnownLyricsDate, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEarliestKnownLyricsDate Context triple: [O Tannenbaum, hasEarliestKnownLyricsDate, 16th century]
-
A.
lyricsFirstPublishedInYear
Indicates the year in which the lyrics of a work were first published.
-
B.
earliestPoemsDateTo
chosen
Indicates that the earliest known poems associated with an entity originate from or can be dated to a specified time or period.
-
C.
earliestPoemsDateFrom
Indicates that the earliest known poems associated with an entity originate from or can be dated to a specified time or period.
-
D.
lyricsFirstPublishedAs
Indicates the original publication source or context in which a set of lyrics was first made publicly available.
-
E.
hasWrittenLyricsFor
Indicates that one entity is the lyricist who has created the words for a song or musical work performed or associated with another 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 2:13 p.m.