Triple
T23281236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Tower |
E588868
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tower |
—
|
NE NERFINISHED |
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: Tower | Statement: [John Tower, familyName, Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tower Context triple: [John Tower, familyName, Tower]
-
A.
Tower
Tower is a key riverside area in central London, best known for landmarks like the Tower of London and Tower Bridge and serving as a major stop on Thames river transport routes.
-
B.
Tower
chosen
Tower is a surname of English origin borne by various notable individuals, including American politician John Tower.
-
C.
Symbol Tower
Symbol Tower is a prominent high-rise landmark and observation tower located in Takamatsu, Japan.
-
D.
Book Tower
The Book Tower is an iconic modernist high-rise library building in Ghent, Belgium, designed by architect Henry van de Velde as a landmark for Ghent University.
-
E.
Edifice
Edifice is a line of Casio wristwatches known for their sporty, sophisticated designs and advanced chronograph and technology features.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19643b8908190a2c29552b272dc61 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 4:57 p.m.