Triple
T19001395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grease (1993 London production) |
E464960
|
entity |
| Predicate | lyricsBy |
P1141
|
FINISHED |
| Object | Warren Casey |
—
|
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: Warren Casey | Statement: [Grease (1993 London production), lyricsBy, Warren Casey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren Casey Context triple: [Grease (1993 London production), lyricsBy, Warren Casey]
-
A.
Warren Casey
chosen
Warren Casey was an American actor, composer, and lyricist best known as the co-writer of the hit musical "Grease."
-
B.
Donald Warren
Donald Warren is an American Thoroughbred racehorse trainer best known for conditioning the champion mare Stellar Wind.
-
C.
Michael Warren
Michael Warren is an American actor best known for his role as Officer Bobby Hill on the television series "Hill Street Blues."
-
D.
Greg Case
Greg Case is an American business executive best known for leading the global professional services firm Aon plc as its longtime chief executive.
-
E.
Warren Simmons
Warren Simmons is an American real estate developer best known for creating San Francisco’s popular waterfront attraction Pier 39.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6863cf4819096e471d19f9a714c |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.