Triple
T18724612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pranav Shyam |
E457864
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Scott Gray |
—
|
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: Scott Gray | Statement: [Pranav Shyam, coAuthorWith, Scott Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Gray Context triple: [Pranav Shyam, coAuthorWith, Scott Gray]
-
A.
Scott Gray
chosen
Scott Gray is a machine learning researcher and engineer known for his work on large-scale neural networks and contributions to OpenAI’s language model research.
-
B.
Scott Gray
Scott Gray is a comics editor and writer known for his work on various comic book projects, including titles related to popular media franchises.
-
C.
Gary Gray
Gary Gray was an American child actor active in the 1940s and 1950s, known for his roles in family and comedy films.
-
D.
Doug Gray
Doug Gray is an American singer best known as the longtime lead vocalist and a founding member of the Southern rock group The Marshall Tucker Band.
-
E.
Ewan Gray
Ewan Gray is a fictional character featured in the work "My Mortal Enemy."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d72d2c4819080b0d31860976b5e |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:50 a.m.