Triple
T7201520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Barstow Strong |
E168756
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Strong |
E136757
|
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: Strong | Statement: [William Barstow Strong, familyName, Strong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strong Context triple: [William Barstow Strong, familyName, Strong]
-
A.
Strong
chosen
Strong is a surname of English origin borne by various notable individuals across fields such as politics, academia, and the arts.
-
B.
Strong Motion
Strong Motion is a 1992 novel by Jonathan Franzen that explores environmental disaster, family dysfunction, and corporate malfeasance through a darkly comic, realist narrative.
-
C.
Strong Unit
Strong Unit is a protected management area within the Detroit River International Wildlife Refuge that conserves important coastal and wetland habitats for wildlife along the Detroit River.
-
D.
Intense
Intense is a studio album by Dutch trance DJ and producer Armin van Buuren that blends uplifting trance with elements of pop and electro.
-
E.
High Force
High Force is a famous and powerful waterfall on the River Tees in northern England, renowned for its dramatic drop through the Pennine landscape.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e94971508190bb38184c9af2fe51 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfb0f4688190a677b818a0b3619c |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:52 p.m.