Triple
T14894803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Fries |
E359843
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mike Fries |
E359843
|
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: Mike Fries | Statement: [Mike Fries, name, Mike Fries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Fries Context triple: [Mike Fries, name, Mike Fries]
-
A.
Mike Fries
chosen
Mike Fries is an American business executive best known as the longtime chief executive officer of international cable and telecommunications company Liberty Global.
-
B.
Mike Mitchell
Mike Mitchell is an American film director known for his work on animated and family films such as "Shrek Forever After," "Trolls," and "The Lego Movie 2: The Second Part."
-
C.
Mike Conovan
Mike Conovan is a fictional boxing manager and trainer who serves as one of the two titular protagonists in the 1952 sports comedy film "Pat and Mike."
-
D.
Ron Feemster
Ron Feemster is a music producer known for his work on the album "Afrodisiac."
-
E.
Mike Miller
Mike Miller is a former American NBA shooting guard and small forward best known for winning the 2000–01 NBA Rookie of the Year award and later contributing to multiple championship teams as a sharpshooter.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f9d10c819091732d7a5a42a682 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b11584819084f32516cb0023a1 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:10 a.m.