Triple
T18014128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William W. Averell |
E430957
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Woods |
—
|
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: Woods | Statement: [William W. Averell, middleName, Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woods Context triple: [William W. Averell, middleName, 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.
Timber
Timber is one of the official mascots of the Salt Lake City 2002 Winter Olympics, represented as an animal character symbolizing the spirit of the Games.
-
D.
Timber
"Timber" is a 2013 dance-pop song by Pitbull featuring Kesha, produced and co-written by Cirkut, known for its harmonica hook and global chart success.
-
E.
the woods
The woods symbolize a mysterious, often foreboding natural realm that embodies both the unknown and the subconscious in literature and art.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b521befc81908dff44f19aa3d580 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.