Triple
T33245711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajiv Menon |
E851092
|
entity |
| Predicate | hasDirectedCommercialsFor |
P198172
|
FINISHED |
| Object | major Indian brands |
—
|
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: major Indian brands | Statement: [Rajiv Menon, hasDirectedCommercialsFor, major Indian brands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectedCommercialsFor Context triple: [Rajiv Menon, hasDirectedCommercialsFor, major Indian brands]
-
A.
appearedInCommercialFor
Indicates that one entity was featured or took part in a commercial advertisement promoting another entity.
-
B.
hasCommercialAppeal
Indicates that something possesses qualities likely to attract buyers or generate profitable market interest.
-
C.
hasDirectedTelevision
Indicates that one entity has directed a television production, such as a TV show or episode, involving the other entity.
-
D.
sponsoredTelevisionSeries
Indicates that an entity provides financial or promotional support for a particular television series.
-
E.
executiveProducerOf
Indicates that one entity serves as the executive producer responsible for overseeing the creation or production of another entity, such as a film, series, or other media work.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69feced53a7c819098ec474fb7d514b0 |
completed | May 9, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69fecd9cd5288190aac8b4e04a7ee78e |
completed | May 9, 2026, 6:01 a.m. |
| PDg | Predicate description generation | batch_69feced436a48190b761db7df2d6b6bd |
completed | May 9, 2026, 6:06 a.m. |
Created at: May 1, 2026, 1:31 a.m.