Triple
T32202151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honoré Lachaille |
E822569
|
entity |
| Predicate | introducedBySong |
P70238
|
FINISHED |
| Object | Thank Heaven for Little Girls |
—
|
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: Thank Heaven for Little Girls | Statement: [Honoré Lachaille, introducedBySong, Thank Heaven for Little Girls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedBySong Context triple: [Honoré Lachaille, introducedBySong, Thank Heaven for Little Girls]
-
A.
songMadeFamousBy
Indicates that a song became widely known or popular primarily through the performance, recording, or promotion of a particular artist or group.
-
B.
popularizedByLyric
Indicates that something became widely known or gained popularity as a result of being mentioned or featured in a song’s lyrics.
-
C.
coveredSongBy
Indicates that one musical work is a cover version performed or recorded by an artist of a song originally created or popularized by another artist.
-
D.
basedOnSongBy
chosen
Indicates that one entity is derived from, adapted from, or otherwise created using a particular song as its source or inspiration.
-
E.
basedOnSongFrom
Indicates that one creative work is derived from, adapted from, or otherwise based on a particular song.
- 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_69f349093174819086e633c190a51aa8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: May 1, 2026, 12:36 a.m.