Triple
T9473539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Greif |
E228452
|
entity |
| Predicate | directed |
P7373
|
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: [Michael Greif, directed, War Paint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: War Paint Context triple: [Michael Greif, directed, 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.
Blush
Blush is the debut studio album by American actress and singer-songwriter Maya Hawke, showcasing her introspective indie-folk sound.
-
E.
Make Up For Ever
Make Up For Ever is a professional cosmetics brand known for its high-performance makeup products widely used by makeup artists and beauty enthusiasts.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ff0afd08190871b68a88fdbff2b |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12ceb52088190a03963a762c7d30d |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:54 p.m.