Triple
T1432738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm Gonna Make You Love Me |
E30485
|
entity |
| Predicate | hasSpokenInterlude |
P9712
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [I'm Gonna Make You Love Me, hasSpokenInterlude, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpokenInterlude Context triple: [I'm Gonna Make You Love Me, hasSpokenInterlude, yes]
-
A.
hasSpokenAbout
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
B.
spokenBefore
Indicates that one entity has spoken or produced speech earlier in time than another entity.
-
C.
includesSpokenPrologue
chosen
Indicates that an entity (such as a work or performance) contains a spoken introductory section delivered before the main content begins.
-
D.
includesSpokenEpilogue
Indicates that the work contains a spoken epilogue segment delivered after the main content concludes.
-
E.
hasReprise
Indicates that an action, theme, or element is repeated or returns after its initial occurrence.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.