Triple
T7168698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurice Blanchot |
E167136
|
entity |
| Predicate | notableIdea |
P4
|
FINISHED |
| Object |
the neuter (le neutre)
The neuter (le neutre) is Maurice Blanchot’s philosophical-literary notion of an impersonal, indeterminate mode of being and language that disrupts fixed identities, narrative authority, and traditional subject–object relations.
|
E647130
|
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: the neuter (le neutre) | Statement: [Maurice Blanchot, notableIdea, the neuter (le neutre)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the neuter (le neutre) Context triple: [Maurice Blanchot, notableIdea, the neuter (le neutre)]
-
A.
Neutor
Neutor is a historic city gate in Nuremberg, Germany, forming part of the city’s preserved medieval fortifications.
-
B.
NEU
NEU is a major public research university in Shenyang, China, known for its strong engineering, metallurgy, and applied science programs.
-
C.
neutron
A neutron is a neutral subatomic particle found in atomic nuclei, playing a key role in nuclear stability and reactions.
-
D.
NE
NE is the two-letter ISO 3166-1 alpha-2 country code assigned to Niger.
-
E.
NE
NE is the official two-letter United States Postal Service abbreviation used to designate the state of Nebraska.
- 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: the neuter (le neutre) Triple: [Maurice Blanchot, notableIdea, the neuter (le neutre)]
Generated description
The neuter (le neutre) is Maurice Blanchot’s philosophical-literary notion of an impersonal, indeterminate mode of being and language that disrupts fixed identities, narrative authority, and traditional subject–object relations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: the neuter (le neutre) Target entity description: The neuter (le neutre) is Maurice Blanchot’s philosophical-literary notion of an impersonal, indeterminate mode of being and language that disrupts fixed identities, narrative authority, and traditional subject–object relations.
-
A.
Neutor
Neutor is a historic city gate in Nuremberg, Germany, forming part of the city’s preserved medieval fortifications.
-
B.
NEU
NEU is a major public research university in Shenyang, China, known for its strong engineering, metallurgy, and applied science programs.
-
C.
neutron
A neutron is a neutral subatomic particle found in atomic nuclei, playing a key role in nuclear stability and reactions.
-
D.
NE
NE is the two-letter ISO 3166-1 alpha-2 country code assigned to Niger.
-
E.
NE
NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85c606081909f76d76fc5b90bc8 |
completed | March 27, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b9094a8c81909e9d5b91ec714831 |
completed | March 28, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69c7b9e55f84819099af471a65bb68aa |
completed | March 28, 2026, 11:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba9317548190946e21c2731d58a7 |
completed | March 28, 2026, 11:25 a.m. |
Created at: March 27, 2026, 2:48 p.m.