Triple
T14454678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midnight (1939 film) |
E358425
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Eve Peabody |
E457007
|
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: Eve Peabody | Statement: [Midnight (1939 film), mainCharacter, Eve Peabody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eve Peabody Context triple: [Midnight (1939 film), mainCharacter, Eve Peabody]
-
A.
Eve Peabody
chosen
Eve Peabody is the charming, quick-witted American showgirl at the center of the 1939 romantic comedy film "Midnight," whose misadventures in Paris drive the film’s plot.
-
B.
Martha Etpison
Martha Etpison is a Palauan cultural advocate and former First Lady of Palau known for her efforts to preserve and promote Palauan history and heritage.
-
C.
Nora Schmidgall
Nora Schmidgall is a former ice hockey player recognized as a notable alumna of the Providence Friars women's ice hockey program.
-
D.
Deirdre Fagan
Deirdre Fagan is an American writer, poet, and scholar known for her work in contemporary literature, grief, and widowhood studies.
-
E.
Jacquetta Hawkes
Jacquetta Hawkes was a British archaeologist and writer known for her influential books on prehistory and for popularizing archaeology in the mid-20th century.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a8bf088190abf5fd4f646b8c62 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648f56608190b6d55c592c088575 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.