Triple
T16613746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erwin Esser Nemmers |
E403639
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object |
Esser
Esser is the middle name of Erwin Esser Nemmers, an American economist and academic known for his contributions to economic theory and education.
|
E1223573
|
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: Esser | Statement: [Erwin Esser Nemmers, hasMiddleName, Esser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esser Context triple: [Erwin Esser Nemmers, hasMiddleName, Esser]
-
A.
Ennesi
Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
-
B.
Fargus
Fargus is a central playable character in the comedic fantasy action-platformer game Pandemonium!, known for his quirky personality and magical abilities.
-
C.
Rodemack
Rodemack is a historic fortified village in northeastern France, renowned for its well-preserved medieval ramparts and picturesque old town.
-
D.
Heustreu
Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
-
E.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
- 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: Esser Triple: [Erwin Esser Nemmers, hasMiddleName, Esser]
Generated description
Esser is the middle name of Erwin Esser Nemmers, an American economist and academic known for his contributions to economic theory and education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Esser Target entity description: Esser is the middle name of Erwin Esser Nemmers, an American economist and academic known for his contributions to economic theory and education.
-
A.
Ennesi
Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
-
B.
Fargus
Fargus is a central playable character in the comedic fantasy action-platformer game Pandemonium!, known for his quirky personality and magical abilities.
-
C.
Rodemack
Rodemack is a historic fortified village in northeastern France, renowned for its well-preserved medieval ramparts and picturesque old town.
-
D.
Heustreu
Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
-
E.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e360983d2c8190b1fe7f18aedfbde1 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aeaa9881908bdef0f9f2b52e60 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a007705f57881908b07a20ae8957c64 |
completed | May 10, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007b18f0b08190a9ddc6ad7358d6b8 |
completed | May 10, 2026, 12:33 p.m. |
Created at: April 10, 2026, 5:17 a.m.