Triple
T4716261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Wall |
E104645
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wall |
E55320
|
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: Wall | Statement: [John Wall, familyName, Wall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wall Context triple: [John Wall, familyName, Wall]
-
A.
Wall
chosen
Wall is a common English surname borne by various notable individuals across sports, politics, and the arts.
-
B.
Walls
"Walls" is a 2016 studio album by American rock band Kings of Leon that marked a stylistic shift with more polished production and introspective songwriting.
-
C.
Crystal Wall
Crystal Wall is the wife of American rapper and DJ Paul Wall, occasionally appearing with him in media and public events.
-
D.
The Wall
The Wall is the towering left-field wall at Fenway Park in Boston, famously known for challenging hitters and shaping the ballpark’s unique character.
-
E.
The Wall
The Wall is the iconic black granite centerpiece of the Vietnam Veterans Memorial in Washington, D.C., inscribed with the names of U.S. service members who died or went missing in the Vietnam War.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd640a32ec8190850146957885c3cf |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be108440108190a7dc1bbfb27ae6f5 |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:18 p.m.