Triple
T11464869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Show People |
E271753
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Henry Kolker |
E374776
|
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: Henry Kolker | Statement: [Show People, starred, Henry Kolker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Kolker Context triple: [Show People, starred, Henry Kolker]
-
A.
Henry Kolker
chosen
Henry Kolker was an American stage and film actor and director active in the early 20th century, known for his character roles in both silent and sound films.
-
B.
Louis Hollander
Louis Hollander was a New York labor leader and public official who served as the state’s Industrial Commissioner, overseeing labor and employment policy.
-
C.
Leon Feldhendler
Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
-
D.
Harry Kleiner
Harry Kleiner was an American screenwriter known for his work on notable films such as the crime thriller "Bullitt."
-
E.
Henry Baerer
Henry Baerer was a German-American sculptor known for creating notable public monuments and statues in the United States during the late 19th century.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd32359c54819098349d7d1c1e454f |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 8, 2026, 9:35 p.m.