Triple
T9069333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Appopolous |
E217322
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Mr. Appopolous |
E217322
|
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: Mr. Appopolous | Statement: [Mr. Appopolous, hasName, Mr. Appopolous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Appopolous Context triple: [Mr. Appopolous, hasName, Mr. Appopolous]
-
A.
Mr. Appopolous
chosen
Mr. Appopolous is a supporting character in the musical "Wonderful Town," typically portrayed as a colorful New York City landlord or shopkeeper who interacts with the main protagonists.
-
B.
Bertram Bloch
Bertram Bloch was a writer whose work served as the source material for the film "Dark Victory."
-
C.
Rudolph Bloom
Rudolph Bloom is the father of Leopold Bloom in James Joyce’s novel "Ulysses," representing the protagonist’s Hungarian Jewish heritage and familial past.
-
D.
Sol Nazerman
Sol Nazerman is the tormented Holocaust survivor and emotionally detached pawnbroker at the center of the 1964 film "The Pawnbroker."
-
E.
Anatole
Anatole is the famously temperamental and gifted French chef employed by Aunt Dahlia in P. G. Wodehouse’s Jeeves and Wooster stories.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ba250819085fa49e0059d06c1 |
completed | April 1, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffde470388190ae88a96654404410 |
completed | April 3, 2026, 5:50 p.m. |
Created at: March 30, 2026, 7:11 p.m.