Triple
T10096342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin.tv |
E215876
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Michael Seibel |
E841353
|
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: Michael Seibel | Statement: [Justin.tv, foundedBy, Michael Seibel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Seibel Context triple: [Justin.tv, foundedBy, Michael Seibel]
-
A.
Michael Seibel
chosen
Michael Seibel is an American entrepreneur and investor best known as a managing director and group partner at Y Combinator and co-founder of multiple influential startups.
-
B.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
C.
Marc Raibert
Marc Raibert is an American roboticist and entrepreneur best known as the founder of Boston Dynamics and a pioneer in legged and dynamic robotics.
-
D.
Craig Wion
Craig Wion is a summit in the Rhinogydd mountain range of Snowdonia in north-west Wales.
-
E.
Brian Schmetzer
Brian Schmetzer is an American soccer coach best known for leading Seattle Sounders FC to multiple MLS Cup titles and establishing the club as a perennial league contender.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd0798c248190af675e30e280daa8 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbeef9a08190a2267f6c7de81170 |
completed | April 5, 2026, 8:54 p.m. |
Created at: March 30, 2026, 9:02 p.m.