Triple
T23594528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All in My Head (Flex) |
E582576
|
entity |
| Predicate | hasSummerTheme |
P28003
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [All in My Head (Flex), hasSummerTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSummerTheme Context triple: [All in My Head (Flex), hasSummerTheme, true]
-
A.
hasSeasonTheme
chosen
Indicates that something is associated with or characterized by a particular seasonal theme.
-
B.
hasDayTheme
Indicates that something is associated with or characterized by a theme specifically intended for daytime use or context.
-
C.
isSummerHit
Indicates that something (typically a song, movie, or product) achieved notable popularity or success specifically during the summer season.
-
D.
hasSummerTemperatureCode
Indicates that an entity is associated with a specific coded value representing its characteristic temperature conditions during the summer season.
-
E.
hasHotSeason
Indicates that an entity experiences a distinct period of time characterized by hot or high-temperature weather conditions.
- 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_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b08e9aa4819091099dfc2074b22d |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:42 p.m.