Triple
T28909108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances "Baby" Houseman |
E733167
|
entity |
| Predicate | performsFinalDanceToSong |
P187036
|
FINISHED |
| Object | (I've Had) The Time of My Life |
—
|
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: (I've Had) The Time of My Life | Statement: [Frances "Baby" Houseman, performsFinalDanceToSong, (I've Had) The Time of My Life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performsFinalDanceToSong Context triple: [Frances "Baby" Houseman, performsFinalDanceToSong, (I've Had) The Time of My Life]
-
A.
performsSongWith
Indicates that two or more entities jointly perform or present a song together.
-
B.
hasDanceChoreography
Indicates that an entity is associated with or characterized by a specific dance choreography.
-
C.
performsSongType
Indicates that an entity (such as a performer) carries out or presents a specific type or category of song.
-
D.
choreographedTo
Indicates that one action, movement, or sequence has been deliberately designed or arranged to align in timing, pattern, or structure with another.
-
E.
danceShow
Indicates that one entity presents or performs a dance-related show or performance for another or for an audience.
- F. None of above. chosen
Provenance (4 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: April 28, 2026, 8:10 a.m.