Triple
T14384531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maximilien Morrel |
E356688
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Morrel
Morrel is a French surname most notably associated with characters in Alexandre Dumas’ novel "The Count of Monte Cristo."
|
E1097264
|
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: Morrel | Statement: [Maximilien Morrel, familyName, Morrel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morrel Context triple: [Maximilien Morrel, familyName, Morrel]
-
A.
Sanniquellie
Sanniquellie is a town in northeastern Liberia that serves as an administrative and commercial center in the region.
-
B.
Moneague
Moneague is a rural village in Jamaica known for its karst landscape, seasonal lake, and location along the main road through Saint Ann Parish.
-
C.
Kaven
Kaven is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
-
D.
El Viejo
El Viejo is a municipality in northwestern Nicaragua known for its colonial architecture and religious traditions, particularly the veneration of the Virgin of El Viejo.
-
E.
El Viejo
El Viejo is a nickname for San Cristóbal, a city in the Dominican Republic known for its historical significance and proximity to the capital, Santo Domingo.
- 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: Morrel Triple: [Maximilien Morrel, familyName, Morrel]
Generated description
Morrel is a French surname most notably associated with characters in Alexandre Dumas’ novel "The Count of Monte Cristo."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morrel Target entity description: Morrel is a French surname most notably associated with characters in Alexandre Dumas’ novel "The Count of Monte Cristo."
-
A.
Sanniquellie
Sanniquellie is a town in northeastern Liberia that serves as an administrative and commercial center in the region.
-
B.
Moneague
Moneague is a rural village in Jamaica known for its karst landscape, seasonal lake, and location along the main road through Saint Ann Parish.
-
C.
Kaven
Kaven is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
-
D.
El Viejo
El Viejo is a municipality in northwestern Nicaragua known for its colonial architecture and religious traditions, particularly the veneration of the Virgin of El Viejo.
-
E.
El Viejo
El Viejo is a nickname for San Cristóbal, a city in the Dominican Republic known for its historical significance and proximity to the capital, Santo Domingo.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9025cff881908c08224d90d9f750 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5513e8888190bc6b6cb33fd9b670 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd569747708190b6cae2679cf9df89 |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5702e95481909f02440dbb233902 |
completed | May 8, 2026, 3:22 a.m. |
Created at: April 10, 2026, 1:16 a.m.