Triple
T2215398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Davies |
E48018
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Emma (1996 TV film) |
E121582
|
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: Emma (1996 TV film) | Statement: [Andrew Davies, notableWork, Emma (1996 TV film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma (1996 TV film) Context triple: [Andrew Davies, notableWork, Emma (1996 TV film)]
-
A.
Emma (1996 film)
chosen
Emma (1996 film) is a 1996 British-American period romantic comedy adaptation of Jane Austen's novel, starring Gwyneth Paltrow as the titular matchmaker in Regency-era England.
-
B.
Emma
Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
-
C.
Emmie
Emmie is a diminutive given name, typically used as a affectionate or informal variant of names like Emma.
-
D.
Felicity
Felicity is an American television drama series that follows a young woman's personal and academic journey through college life in New York City.
-
E.
Julie
Julie is a feminine given name of Latin origin, commonly used in many Western countries.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbff11574819091d1b50d637ae767 |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae65571b9481908f992cee85ee59eb |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.