Triple
T1508645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Met |
E33959
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Mr. Met |
E33959
|
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: Mr. Met | Statement: [Mr. Met, shortName, Mr. Met]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Met Context triple: [Mr. Met, shortName, Mr. Met]
-
A.
Mr. Met
chosen
Mr. Met is the baseball-headed, cartoonish mascot of the New York Mets, known for entertaining fans at games and team events.
-
B.
Phillie Phanatic
Phillie Phanatic is the Philadelphia Phillies’ large, green, furry, and comically mischievous mascot, famous for its slapstick antics and crowd-pleasing performances at baseball games.
-
C.
Wally the Green Monster
Wally the Green Monster is the furry green mascot of the Boston Red Sox, inspired by Fenway Park’s famous left-field wall, the Green Monster.
-
D.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
E.
Mighty Mo
Mighty Mo is the famous nickname of the USS Missouri, a U.S. Navy battleship best known as the site of Japan’s formal surrender in World War II.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8891daf708190a23d6c920eac8b6d |
completed | March 4, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad233c254c8190b52b34526c9cb3cb |
completed | March 8, 2026, 7:20 a.m. |
Created at: March 4, 2026, 7:24 p.m.