Triple
T23540234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Famuyiwa |
E577721
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Wood |
—
|
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: The Wood | Statement: [Rick Famuyiwa, notableWork, The Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Wood Context triple: [Rick Famuyiwa, notableWork, The Wood]
-
A.
The Wood
chosen
"The Wood" is a 1999 coming-of-age comedy-drama film that follows three lifelong friends in Inglewood, California, as they reminisce about their youth on the day of one friend's wedding.
-
B.
The Wood
The Wood is the nickname of Boreham Wood F.C., an English football club based in Borehamwood, Hertfordshire.
-
C.
The Woods
"The Woods" is a soulful, genre-blending song by American musician Raury that showcases his introspective lyrics and folk-influenced alternative sound.
-
D.
The Woods
The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
-
E.
The Woods
The Woods is a film scored by composer John Frizzell, known for its atmospheric and suspenseful musical style.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1a66b88190811b38523ea606fe |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.