Triple
T9450629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Mack |
E227878
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kiss and Make-Up |
E579747
|
NE 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: Kiss and Make-Up | Statement: [Helen Mack, notableWork, Kiss and Make-Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiss and Make-Up Context triple: [Helen Mack, notableWork, Kiss and Make-Up]
-
A.
Kiss and Make Up
chosen
"Kiss and Make Up" is a song featured on the album "Under the Blue Moon."
-
B.
Let's Kiss and Make Up
"Let's Kiss and Make Up" is a popular song by George and Ira Gershwin, best known for its inclusion in the musical comedy "Funny Face."
-
C.
Last Kiss
"Last Kiss" is a popular rock ballad famously covered by Pearl Jam, known for its tragic narrative and success as one of the band's biggest hit singles.
-
D.
Break Up to Make Up
"Break Up to Make Up" is a classic soul ballad, best known as a hit song by The Stylistics co-written by Linda Creed.
-
E.
Kissed
"Kissed" is a 1996 Canadian independent drama film, directed by Lynne Stopkewich and starring Molly Parker, that explores a young woman's fixation with death and necrophilia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f6649a48190b6844daa6202efe5 |
completed | April 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12268429c8190bf2fd0f3ea4dac4a |
completed | April 4, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:51 p.m.