Triple
T8709796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christie Road |
E206744
|
entity |
| Predicate | hasNotableLivePerformances |
P24795
|
FINISHED |
| Object | Green Day concerts in the early 1990s |
—
|
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: Green Day concerts in the early 1990s | Statement: [Christie Road, hasNotableLivePerformances, Green Day concerts in the early 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableLivePerformances Context triple: [Christie Road, hasNotableLivePerformances, Green Day concerts in the early 1990s]
-
A.
hasNotableLivePerformancesBy
chosen
Indicates that an entity (such as a work, event, or venue) is associated with notable live performances given by a specified performer or group.
-
B.
hasLivePerformanceWith
Indicates that two or more entities participate together in the same live performance event.
-
C.
hasPerformedLiveIn
Indicates that an entity has given a live performance in a specified location or venue.
-
D.
hasNotablePerformer
Indicates that an entity features or is associated with a performer who is particularly prominent, famous, or otherwise noteworthy.
-
E.
hasFanPerformances
Indicates that an entity has associated performances created or carried out by fans.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c3034708190b895eaf890d62198 |
completed | March 31, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.