Triple
T3621890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie |
E76744
|
entity |
| Predicate | hasTouringProductions |
P50492
|
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: [Annie, hasTouringProductions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTouringProductions Context triple: [Annie, hasTouringProductions, yes]
-
A.
hasTour
Indicates that an entity offers, includes, or is associated with a tour experience or guided visit.
-
B.
isFrequentlyPerformedOnTourBy
Indicates that an action or piece (such as a song, routine, or performance) is regularly and commonly carried out by an entity while they are on tour.
-
C.
hasFanPerformances
Indicates that an entity has associated performances created or carried out by fans.
-
D.
performedOnTourWith
Indicates that one entity carried out a tour in conjunction with, or as part of, another entity’s tour.
-
E.
featuredInTourSetlistOf
Indicates that an item (such as a song or performance) appears as part of the setlist for a specific tour.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bb12cc8190bd67597cf3b66a3a |
completed | March 8, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69adb83f1e4c8190ab501c1c05b14c08 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb9bbb62c8190989629ca11733e1b |
completed | March 8, 2026, 6:02 p.m. |
Created at: March 8, 2026, 3:23 p.m.