Triple
T23546475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Fire |
E577907
|
entity |
| Predicate | producerLegalName |
P124687
|
FINISHED |
| Object | Kasseem Daoud Dean |
—
|
NE NERFINISHED |
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: Kasseem Daoud Dean | Statement: [On Fire, producerLegalName, Kasseem Daoud Dean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producerLegalName Context triple: [On Fire, producerLegalName, Kasseem Daoud Dean]
-
A.
producerName
chosen
Indicates that the associated value is the name of the producer responsible for creating or manufacturing the referenced entity.
-
B.
trademarkOwner
Indicates that one entity legally owns and holds the rights to a particular trademark associated with another entity or product.
-
C.
sponsorLegalNameAtTime
Indicates the legal name that a sponsor had at a specific point in time.
-
D.
labelFounderProducer
Indicates that an entity is the founder or originator responsible for producing or creating another entity.
-
E.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecb567c8190a54d2c3b63282af5 |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:11 p.m.