Triple
T4677746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunset Strip |
E103721
|
entity |
| Predicate | culturalEra |
P561
|
FINISHED |
| Object | especially prominent in 1960s 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: especially prominent in 1960s rock scene | Statement: [Sunset Strip, culturalEra, especially prominent in 1960s rock scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalEra Context triple: [Sunset Strip, culturalEra, especially prominent in 1960s rock scene]
-
A.
culturalPeriod
Indicates the historical or cultural era with which an entity is associated or during which it was created, used, or significant.
-
B.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
C.
historicalEraOfRise
Indicates the historical era or period during which an entity first rose to prominence, influence, or significance.
-
D.
historicalEraOfNaming
Indicates the historical era or time period during which an entity received its name.
-
E.
notableEra
chosen
Indicates the historical period or era for which an entity is especially recognized or significant.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.