Triple
T33756659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aly Raisman |
E864994
|
entity |
| Predicate | floorMusic |
P177658
|
FINISHED |
| Object | "Hava Nagila" (2012 Olympic floor routine) |
—
|
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: "Hava Nagila" (2012 Olympic floor routine) | Statement: [Aly Raisman, floorMusic, "Hava Nagila" (2012 Olympic floor routine)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorMusic Context triple: [Aly Raisman, floorMusic, "Hava Nagila" (2012 Olympic floor routine)]
-
A.
floor
Indicates that one entity is located on or forms the walking surface (the floor) beneath another entity within a space.
-
B.
floorContext
Indicates the specific floor or level within a building or structure that serves as the contextual setting for an event, object, or relationship.
-
C.
balletMusic
Indicates that the music is composed for, associated with, or used in the performance of a ballet.
-
D.
floorBelow
Indicates that one entity is located on the floor directly beneath another entity within the same structure.
-
E.
floorEnd
Indicates the point or boundary at which a floor or level terminates within a structure or sequence.
- 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_69f3498c35f881909df279ae4270f831 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:45 a.m.