Triple
T28148683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Little Boys |
E714551
|
entity |
| Predicate | decadeOfMajorHit |
P89584
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Two Little Boys, decadeOfMajorHit, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decadeOfMajorHit Context triple: [Two Little Boys, decadeOfMajorHit, 1960s]
-
A.
hasNotableHitDecade
chosen
Indicates the decade during which an entity achieved a particularly notable or significant hit (e.g., a major success or breakthrough).
-
B.
decadeList
Indicates that an entity is associated with a list of decades, typically representing time periods relevant to that entity.
-
C.
emergedInDecade
Indicates that something first appeared, originated, or came into prominence during a specified decade.
-
D.
decadeRecognition
Indicates that an entity is formally recognized, honored, or notable during a specific decade.
-
E.
wasMostPopularInDecade
Indicates that something held the highest level of popularity among comparable items during a specified decade.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 9:58 p.m.