Triple
T20419112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mack & Mabel |
E500798
|
entity |
| Predicate | orchestrator |
P4735
|
FINISHED |
| Object | Philip J. Lang |
—
|
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: Philip J. Lang | Statement: [Mack & Mabel, orchestrator, Philip J. Lang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip J. Lang Context triple: [Mack & Mabel, orchestrator, Philip J. Lang]
-
A.
Philip J. Lang
chosen
Philip J. Lang was an American orchestrator best known for his work on numerous mid-20th-century Broadway musicals.
-
B.
Fred M. Wilcox
Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
-
C.
Donald C. Wood
Donald C. Wood is a business executive best known for leading Federal Realty Investment Trust, a major U.S. real estate investment trust specializing in retail and mixed-use properties.
-
D.
Donald M. McAlpine
Donald M. McAlpine is an acclaimed Australian cinematographer known for his work on numerous major films, including collaborations with directors like Bruce Beresford and Baz Luhrmann.
-
E.
Robert L. Jacks
Robert L. Jacks was an American film producer best known for his work on mid-20th-century Hollywood Westerns and adventure films.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4686a48190a808c86aa916ad56 |
completed | April 20, 2026, 7:11 p.m. |
Created at: April 16, 2026, 11:30 a.m.