Triple
T14146446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Station |
E350561
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Dora |
E934870
|
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: Dora | Statement: [Central Station, mainCharacter, Dora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dora Context triple: [Central Station, mainCharacter, Dora]
-
A.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
-
B.
Dora
Dora is a character in Jim Jarmusch’s film "Broken Flowers," known as one of Don Johnston’s former girlfriends whom he visits while searching for the mother of his alleged son.
-
C.
Dora
Dora is the given name of Dora de Houghton Carrington, an English painter and decorative artist associated with the Bloomsbury Group.
-
D.
Dora
chosen
Dora is a central character in the Italian film "Life Is Beautiful," portrayed as a loving and courageous mother whose devotion to her family anchors the story’s emotional core.
-
E.
Dora
Dora is a feminine given name, often used in English-speaking countries and sometimes as a short form of names like Dorothy or Theodora.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de612266248190a8591b646fe30ae6 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19395924819084d78815c3f12f43 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 12:54 a.m.