Triple
T5271614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Wright |
E119270
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | W. |
E349310
|
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: W. | Statement: [Jeffrey Wright, notableWork, W.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: W. Context triple: [Jeffrey Wright, notableWork, W.]
-
A.
W.
chosen
W. is a 2008 biographical drama film directed by Oliver Stone that portrays the life and presidency of George W. Bush.
-
B.
The W
The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
-
C.
W
W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
-
D.
W
The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
-
E.
W4
W4 is a prominent star-forming region in the Milky Way, notable for its large ionized gas bubble and active formation of massive young stars.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7c1fa01081909d589686289b624b |
completed | March 20, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06ced8f481909d1714ed3415ab85 |
completed | March 21, 2026, 8:59 p.m. |
Created at: March 20, 2026, 1:51 p.m.