Triple
T14455604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Very Long Engagement |
E358450
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Manech
Manech is the young French soldier whose mysterious fate during World War I drives the romantic and investigative plot of the novel and film "A Very Long Engagement."
|
E1100699
|
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: Manech | Statement: [A Very Long Engagement, mainCharacter, Manech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manech Context triple: [A Very Long Engagement, mainCharacter, Manech]
-
A.
Manaen
Manaen was an early Christian leader mentioned in the New Testament as a prophet and teacher in the church at Antioch, noted for having been brought up with Herod the tetrarch.
-
B.
Maniche
Maniche is a rural commune located in the Sud Department of southwestern Haiti.
-
C.
Machaon
Machaon is a figure from Greek mythology, renowned as a skilled healer and son of the legendary physician Asclepius.
-
D.
Marcali
Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
-
E.
Menach
Menach is a small river in Bavaria, Germany, that flows through the district of Straubing-Bogen and serves as a tributary within the Danube river basin.
- 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: Manech Triple: [A Very Long Engagement, mainCharacter, Manech]
Generated description
Manech is the young French soldier whose mysterious fate during World War I drives the romantic and investigative plot of the novel and film "A Very Long Engagement."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manech Target entity description: Manech is the young French soldier whose mysterious fate during World War I drives the romantic and investigative plot of the novel and film "A Very Long Engagement."
-
A.
Manaen
Manaen was an early Christian leader mentioned in the New Testament as a prophet and teacher in the church at Antioch, noted for having been brought up with Herod the tetrarch.
-
B.
Maniche
Maniche is a rural commune located in the Sud Department of southwestern Haiti.
-
C.
Machaon
Machaon is a figure from Greek mythology, renowned as a skilled healer and son of the legendary physician Asclepius.
-
D.
Marcali
Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
-
E.
Menach
Menach is a small river in Bavaria, Germany, that flows through the district of Straubing-Bogen and serves as a tributary within the Danube river basin.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd649177108190be32af72dcae04ee |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd664347c48190a411141398794b88 |
completed | May 8, 2026, 4:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd66e5d6b08190ad94a6a5f1809c2a |
completed | May 8, 2026, 4:30 a.m. |
Created at: April 10, 2026, 1:19 a.m.