Triple
T19600564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marguerite Churchill |
E470460
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Orin O’Brien |
—
|
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: Orin O’Brien | Statement: [Marguerite Churchill, hasRelative, Orin O’Brien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orin O’Brien Context triple: [Marguerite Churchill, hasRelative, Orin O’Brien]
-
A.
Orin O’Brien
chosen
Orin O’Brien is an American double bassist best known for being the first woman to join the New York Philharmonic, where she served for many decades.
-
B.
Orin Boyd
Orin Boyd is the tough, rule-breaking Detroit police detective portrayed by Steven Seagal in the action film "Exit Wounds."
-
C.
Orin Scrivello
Orin Scrivello is the sadistic dentist and antagonist from the musical and film "Little Shop of Horrors," known for his abusive behavior and darkly comic persona.
-
D.
Isen Robbins
Isen Robbins is a film producer known for his work on independent and character-driven movies.
-
E.
Kimball O'Hara
Kimball O'Hara is the orphaned Irish-Indian boy and streetwise spy-in-training who serves as the protagonist of Rudyard Kipling’s novel "Kim."
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407df98c8190b258ac3b690fe4b1 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.