Triple
T23290064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterfront |
E589999
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | George Humbert |
—
|
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: George Humbert | Statement: [Waterfront, hasCastMember, George Humbert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Humbert Context triple: [Waterfront, hasCastMember, George Humbert]
-
A.
George Humbert
chosen
George Humbert was an Italian-born American character actor known for his numerous supporting roles in Hollywood films during the early 20th century.
-
B.
Eric Thévenet
Eric Thévenet is a French jeweler and designer best known as the husband and creative collaborator of fashion and jewelry designer Paloma Picasso.
-
C.
Claude Lebel
Claude Lebel is the methodical French police detective who leads the investigation to stop the assassin in Frederick Forsyth’s thriller "The Day of the Jackal."
-
D.
Claude Sautet
Claude Sautet was a French film director and screenwriter renowned for his intimate, character-driven dramas exploring middle-class life and relationships in postwar France.
-
E.
Wim Mertens
Wim Mertens is a Belgian composer and musician known for his minimalist and contemporary classical works, including numerous film scores and ensemble pieces.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1964a4c548190bda1e85b8d316e8a |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 5:01 p.m.