Triple
T5698111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brent Tully |
E125589
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Brent |
E298322
|
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: Brent | Statement: [Brent Tully, givenName, Brent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brent Context triple: [Brent Tully, givenName, Brent]
-
A.
Brent
Brent is a London borough in northwest London, known for landmarks such as Wembley Stadium and its diverse residential communities.
-
B.
Brent
chosen
Brent is a masculine given name of Old English origin, commonly used in English-speaking countries.
-
C.
Ardroil
Ardroil is a coastal settlement on the Isle of Lewis in Scotland’s Outer Hebrides, noted for its scenic beaches and significant archaeological remains.
-
D.
Petro
Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
-
E.
Emex
Emex is a small genus of flowering plants in the knotweed family Polygonaceae, commonly known for weedy species such as Emex spinosa (spiny emex) found in disturbed and agricultural areas.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0240ecef48190bdef10b38ecb2bd0 |
completed | March 22, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a5996a08190860cb5fab57c31b5 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:45 p.m.