Triple
T6811847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Landy |
E156652
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Landy |
E609550
|
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: Landy | Statement: [John Landy, familyName, Landy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landy Context triple: [John Landy, familyName, Landy]
-
A.
Landy
chosen
Landy is the official mascot character of the South Korean professional baseball team SSG Landers.
-
B.
Niva
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
-
C.
Kandi
Kandi is an American singer, songwriter, television personality, and businesswoman best known as a member of the R&B group Xscape and a star of The Real Housewives of Atlanta.
-
D.
Lola
Lola is a fictional character portrayed by British actor Chiwetel Ejiofor.
-
E.
Lola
Lola is a 1981 West German drama film directed by Rainer Werner Fassbinder, in which Armin Mueller-Stahl plays a prominent role in a story set in postwar Germany.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71aa7dc3c81909ef422b5c51ae6be |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:16 p.m.