Triple
T13580828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Wright |
E324411
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | War Paint |
E801423
|
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: War Paint | Statement: [Doug Wright, notableWork, War Paint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: War Paint Context triple: [Doug Wright, notableWork, War Paint]
-
A.
War Paint
chosen
War Paint is a Broadway musical that dramatizes the rivalry between cosmetics titans Helena Rubinstein and Elizabeth Arden in mid-20th-century America.
-
B.
Lipstick, Powder and Paint
"Lipstick, Powder and Paint" is a 1985 rock and roll studio album by Welsh singer Shakin' Stevens, featuring a mix of original songs and covers in his signature retro style.
-
C.
Warpaint
Warpaint is an American indie rock band known for its atmospheric, guitar-driven sound and intricate vocal harmonies.
-
D.
Lipstick
Lipstick is a 1976 American thriller film known for its controversial depiction of sexual assault and revenge, starring Margaux Hemingway in her film debut.
-
E.
Fierce Beauty
Fierce Beauty is a photography book by Eric Meola showcasing vivid, dramatic images that highlight the power and majesty of nature.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb03052088190a2b68c106059828e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bbdb2d0819089f094e57dde28cf |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.