Triple
T18707778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Story (1944 film) |
E457417
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Cella
Cella is a fictional character from the 1944 romantic drama film "Love Story."
|
E1338460
|
NE FINISHED |
How this triple was built (4 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: Cella | Statement: [Love Story (1944 film), character, Cella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cella Context triple: [Love Story (1944 film), character, Cella]
-
A.
Cella Monte
Cella Monte is a small historic village in Italy’s Piedmont region, renowned for its wine production and characteristic stone cellars carved into the hills of Monferrato.
-
B.
Cellamare
Cellamare is a small town and comune in the Apulia region of southern Italy, situated within the Metropolitan City of Bari.
-
C.
Stroggos
Stroggos is the hostile alien homeworld of the cybernetic Strogg race in the Quake II video game universe.
-
D.
Pázmáneum
Pázmáneum is a historic Hungarian Catholic educational institution and seminary in Vienna, established to train clergy and intellectuals for the Kingdom of Hungary.
-
E.
Casotto
Casotto is a 1977 Italian comedy film directed by Sergio Citti, known for its ensemble cast and seaside changing-cabin setting.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cella Triple: [Love Story (1944 film), character, Cella]
Generated description
Cella is a fictional character from the 1944 romantic drama film "Love Story."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cella Target entity description: Cella is a fictional character from the 1944 romantic drama film "Love Story."
-
A.
Cella Monte
Cella Monte is a small historic village in Italy’s Piedmont region, renowned for its wine production and characteristic stone cellars carved into the hills of Monferrato.
-
B.
Cellamare
Cellamare is a small town and comune in the Apulia region of southern Italy, situated within the Metropolitan City of Bari.
-
C.
Stroggos
Stroggos is the hostile alien homeworld of the cybernetic Strogg race in the Quake II video game universe.
-
D.
Pázmáneum
Pázmáneum is a historic Hungarian Catholic educational institution and seminary in Vienna, established to train clergy and intellectuals for the Kingdom of Hungary.
-
E.
Casotto
Casotto is a 1977 Italian comedy film directed by Sergio Citti, known for its ensemble cast and seaside changing-cabin setting.
- F. None of above. chosen
Provenance (5 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e567185c648190848ca47498eb56b3 |
completed | April 19, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b3c8e5081908735b95498b49547 |
completed | May 14, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a052c70dca881908fd4f3a437340bb5 |
completed | May 14, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052cc1c634819095ebfebf54d784d0 |
completed | May 14, 2026, 2 a.m. |
Created at: April 10, 2026, 11:50 a.m.