Triple
T3495106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wand |
E73830
|
entity |
| Predicate | scene |
P1957
|
FINISHED |
| Object | Los Angeles psychedelic rock scene |
—
|
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: Los Angeles psychedelic rock scene | Statement: [Wand, scene, Los Angeles psychedelic rock scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scene Context triple: [Wand, scene, Los Angeles psychedelic rock scene]
-
A.
stage
Indicates that an entity organizes, presents, or performs another entity (such as an event, show, or action) as a staged occurrence.
-
B.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
C.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
D.
theatricalSetting
Indicates the spatial or contextual environment in which a theatrical performance or dramatic action takes place.
-
E.
setting
chosen
Indicates the place, time, or context in which an event, action, or interaction occurs.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbb06fd08190b6c1fadfce4148f0 |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.