Triple
T3116071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Shenker |
E65065
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Scott Shenker |
E65065
|
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: Scott Shenker | Statement: [Scott Shenker, name, Scott Shenker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Shenker Context triple: [Scott Shenker, name, Scott Shenker]
-
A.
Scott Shenker
chosen
Scott Shenker is a prominent computer scientist known for his influential work in networking and Internet architecture, including foundational contributions to software-defined networking.
-
B.
Jim Keltner
Jim Keltner is an American session drummer renowned for his work with artists such as John Lennon, George Harrison, Bob Dylan, and many others across rock and pop music.
-
C.
Tom Stern
Tom Stern is an American cinematographer best known for his frequent collaborations with director Clint Eastwood on numerous acclaimed films.
-
D.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
E.
Richard Marks
Richard Marks was an American film editor known for his work on numerous acclaimed movies, including the culinary drama "Julie & Julia."
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e40bc48190b9b17c706a2450d5 |
completed | March 8, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2039d9d408190b01e45f0ced5ca3d |
completed | March 12, 2026, 12:06 a.m. |
Created at: March 8, 2026, 3:04 p.m.