Triple
T25641238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlboro Man |
E642840
|
entity |
| Predicate | predecessorImage |
P165000
|
FINISHED |
| Object | feminine-filtered-cigarette image of Marlboro |
—
|
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: feminine-filtered-cigarette image of Marlboro | Statement: [Marlboro Man, predecessorImage, feminine-filtered-cigarette image of Marlboro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorImage Context triple: [Marlboro Man, predecessorImage, feminine-filtered-cigarette image of Marlboro]
-
A.
predecessorAvatar
Indicates that one avatar existed or was used before another avatar in a temporal or version sequence.
-
B.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
C.
predecessorVersion
Indicates that one entity is an earlier or prior version in a version sequence relative to another entity.
-
D.
predecessorFamily
Indicates that one family is the earlier or ancestral family from which another family descends or follows.
-
E.
predecessorSeries
Indicates that one series directly precedes another in an ordered sequence or lineage.
- F. None of above. chosen
Provenance (4 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 21, 2026, 5:43 p.m.