Triple
T4713090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Licht |
E104563
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jason Licht |
E104563
|
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: Jason Licht | Statement: [Jason Licht, name, Jason Licht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Licht Context triple: [Jason Licht, name, Jason Licht]
-
A.
Jason Licht
chosen
Jason Licht is an American football executive best known for serving as the general manager who helped build the Tampa Bay Buccaneers’ Super Bowl LV–winning roster.
-
B.
Steve Kirsch
Steve Kirsch is an American entrepreneur and inventor best known for founding multiple technology companies, including the early internet search engine Infoseek.
-
C.
Russ Titelman
Russ Titelman is an American record producer and songwriter known for his work with major artists across rock and pop music, including collaborations with the likes of Eric Clapton and George Harrison.
-
D.
Michael Frank
Michael Frank is a member of the Frank family, known primarily as a descendant of Otto Frank, the father of Anne Frank.
-
E.
Michael Neeleman
Michael Neeleman is a notable individual recognized as a bearer of the Neeleman surname, likely distinguished in a professional or public context.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64064c548190bcaa975bd81cd0d5 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be107c3ca48190b93d3f66cc15449e |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:18 p.m.