Triple
T4422738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romeo and Juliet (1936 film) |
E95139
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Margaret Booth |
E385409
|
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: Margaret Booth | Statement: [Romeo and Juliet (1936 film), editor, Margaret Booth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Booth Context triple: [Romeo and Juliet (1936 film), editor, Margaret Booth]
-
A.
Margaret Booth
chosen
Margaret Booth was a pioneering American film editor and longtime MGM supervising editor whose career spanned the silent era through Hollywood’s Golden Age.
-
B.
Mary Pugh
Mary Pugh is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Pugh.
-
C.
Ethel Chambers
Ethel Chambers is a notable individual who shares the Chambers surname and is recognized as a distinguished bearer of that family name.
-
D.
Margaret Gibson
Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
-
E.
Margaret Biggins
Margaret Biggins was the wife of Sir Richard Arkwright, the pioneering English inventor and industrialist of the early textile factory system.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554a0e7c8190b704d00d07b1857d |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62bbee48190bae8fc7b9cc29086 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.