Triple
T35137043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadway production of Irma La Douce |
E1014601
|
entity |
| Predicate | englishBookAndLyricsBy |
P1141
|
FINISHED |
| Object | Julian More |
—
|
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: Julian More | Statement: [Broadway production of Irma La Douce, englishBookAndLyricsBy, Julian More]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: englishBookAndLyricsBy Context triple: [Broadway production of Irma La Douce, englishBookAndLyricsBy, Julian More]
-
A.
EnglishLyricsTitle
Indicates that the title of something (such as a song or work) is given in English lyrics.
-
B.
EnglishLyricsBy
Indicates that the associated work has its lyrics written in English by the specified entity.
-
C.
lyricsAdaptedFrom
Indicates that the lyrics of one work are derived, adapted, or modified from the lyrics of another pre-existing work.
-
D.
lyricExpresses
Indicates that the content or emotion of a lyric conveys, communicates, or articulates a particular idea, feeling, or message.
-
E.
lyricsBy
chosen
Indicates that the lyrics of a song or musical work were written or authored by a specified person or 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ca1c3dc8190852c462de4f47bee |
completed | May 3, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.