Triple
T20383923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Match King |
E497910
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lili Damita |
—
|
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: Lili Damita | Statement: [The Match King, starring, Lili Damita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lili Damita Context triple: [The Match King, starring, Lili Damita]
-
A.
Lili Damita
chosen
Lili Damita was a French-American actress and former dancer known for her roles in early sound films and for her high-profile marriage to Hollywood star Errol Flynn.
-
B.
Lili Sepe
Lili Sepe is an American actress best known for her role in the horror film "It Follows."
-
C.
Lili Gentle
Lili Gentle is an American actress known for her film and television roles in the 1950s and 1960s.
-
D.
Lita Roza
Lita Roza was a British traditional pop and jazz singer best known as one of the leading vocalists with the Ted Heath Band in the 1950s and the first British woman to top the UK Singles Chart.
-
E.
Nita Naldi
Nita Naldi was a prominent American silent film actress best known for her sultry vamp roles opposite stars like Rudolph Valentino in the early 1920s.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b2ceec819091ad5205ee9b2174 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.