Triple
T5921472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RatDog |
E131707
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Mark Karan |
E555910
|
NE 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: Mark Karan | Statement: [RatDog, hasMember, Mark Karan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Karan Context triple: [RatDog, hasMember, Mark Karan]
-
A.
Mark Karan
chosen
Mark Karan is an American rock guitarist best known for his work with post-Grateful Dead projects such as RatDog and The Other Ones.
-
B.
Sam Joshi
Sam Joshi is an American politician who serves as the mayor of Edison Township, New Jersey.
-
C.
Chris Rebello
Chris Rebello was a child actor best known for playing Michael Brody, the eldest son of Chief Brody, in Steven Spielberg’s classic 1975 film "Jaws."
-
D.
Karan Patel
Karan Patel is an Indian television actor best known for his role as Raman Bhalla in the popular Hindi TV series "Yeh Hai Mohabbatein."
-
E.
Michael Shamberg
Michael Shamberg is an American film producer known for his work on acclaimed movies such as "Pulp Fiction," "Erin Brockovich," and "Out of Sight."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03802ff4081908589236ba5cd196d |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e39ea48c8190a968f81f0e26ccbf |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 4 p.m.