Triple
T9222828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrone S. Woods |
E221604
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Woods |
E99163
|
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: Woods | Statement: [Tyrone S. Woods, familyName, Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woods Context triple: [Tyrone S. Woods, familyName, Woods]
-
A.
Woods
chosen
Woods is a common English surname of Anglo-Saxon origin, typically referring to someone who lived or worked in or near a forest.
-
B.
How Wood
How Wood is a residential suburb and railway-served locality near St Albans in Hertfordshire, England.
-
C.
De Wood
De Wood is a specific variant or form of wood distinguished from the general category of wood materials.
-
D.
Gelt Woods
Gelt Woods is a scenic woodland and river gorge in Cumbria, England, known for its walking trails, wildlife, and historic sandstone carvings.
-
E.
Woodlands
Woodlands is a residential neighbourhood located within the city of Pickering in Ontario, Canada.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda7903208190b4e29a1591aab78a |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0664565748190a45cf382fca72cbe |
completed | April 4, 2026, 1:15 a.m. |
Created at: March 30, 2026, 7:28 p.m.