Triple
T1053082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurice Gamelin |
E22742
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gamelin
Gamelin is a French surname most notably associated with General Maurice Gamelin, the commander-in-chief of the French Army at the start of World War II.
|
E121138
|
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: Gamelin | Statement: [Maurice Gamelin, familyName, Gamelin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gamelin Context triple: [Maurice Gamelin, familyName, Gamelin]
-
A.
Rudin
Rudin is a surname most prominently associated with American film and theater producer Scott Rudin.
-
B.
Hungerford
Hungerford is a historic market town and civil parish in West Berkshire, England, situated on the River Kennet and the Kennet and Avon Canal.
-
C.
Cauchy-à-la-Tour
Cauchy-à-la-Tour is a small commune in the Pas-de-Calais department of northern France.
-
D.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
E.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
- 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: Gamelin Triple: [Maurice Gamelin, familyName, Gamelin]
Generated description
Gamelin is a French surname most notably associated with General Maurice Gamelin, the commander-in-chief of the French Army at the start of World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gamelin Target entity description: Gamelin is a French surname most notably associated with General Maurice Gamelin, the commander-in-chief of the French Army at the start of World War II.
-
A.
Rudin
Rudin is a surname most prominently associated with American film and theater producer Scott Rudin.
-
B.
Hungerford
Hungerford is a historic market town and civil parish in West Berkshire, England, situated on the River Kennet and the Kennet and Avon Canal.
-
C.
Cauchy-à-la-Tour
Cauchy-à-la-Tour is a small commune in the Pas-de-Calais department of northern France.
-
D.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
-
E.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b644088190a1f0f00f97941298 |
completed | March 1, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bcf04448190af136ca4f037547b |
completed | March 7, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69ac3c9a92008190a6336626faed36bd |
completed | March 7, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3d0fcdb88190b4c5e5ddf41e2716 |
completed | March 7, 2026, 2:58 p.m. |
Created at: March 1, 2026, 7:42 p.m.