Triple
T8092388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bakewell Jr. |
E188897
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hoover Tower |
E422847
|
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: Hoover Tower | Statement: [John Bakewell Jr., notableWork, Hoover Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoover Tower Context triple: [John Bakewell Jr., notableWork, Hoover Tower]
-
A.
Hoover Tower
chosen
Hoover Tower is a prominent landmark and observation tower on the Stanford University campus, known for its distinctive architecture and views over the surrounding area.
-
B.
Well Tower
Well Tower is a historic defensive tower within Lancaster Castle in Lancashire, England, traditionally associated with the castle’s water supply and medieval fortifications.
-
C.
Leland Tower
Leland Tower is a historic high-rise building in downtown Aurora, Illinois, once the tallest building in the state outside Chicago and a prominent local landmark.
-
D.
Murney Tower
Murney Tower is a 19th-century stone Martello tower and National Historic Site that forms part of the historic waterfront fortifications in Kingston, Ontario.
-
E.
Wood Tower
Wood Tower is a historic medieval watchtower and former city gate located in the German city of Mainz along the Rhine River.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42217a1881909792b08a2f06fb75 |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93ff6a108190ac60218ec2716c60 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:30 p.m.