Triple
T8832036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antihydrogen Laser Physics Apparatus |
E210168
|
entity |
| Predicate | hasAcronym |
P43
|
FINISHED |
| Object |
ALPHA
ALPHA is a CERN-based experimental collaboration that studies the properties of antihydrogen to test fundamental symmetries in physics.
|
E761915
|
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: ALPHA | Statement: [Antihydrogen Laser Physics Apparatus, hasAcronym, ALPHA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALPHA Context triple: [Antihydrogen Laser Physics Apparatus, hasAcronym, ALPHA]
-
A.
Alpha
Alpha is the first letter of the Greek alphabet, often symbolizing beginnings, primacy, or the starting point in various contexts.
-
B.
Alpha
Alpha is Sony’s line of interchangeable-lens mirrorless and DSLR-style digital cameras aimed at photography enthusiasts and professionals.
-
C.
Alpha
Alpha is the ruthless and enigmatic leader of the Whisperers, a group of survivors who live among and disguise themselves as walkers in The Walking Dead universe.
-
D.
Alpha
Alpha is a fictional planet that serves as a setting in various works of science fiction.
-
E.
Alpha 60
Alpha 60 is the authoritarian, emotionless supercomputer that controls the dystopian city in Jean-Luc Godard’s science-fiction film "Alphaville."
- 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: ALPHA Triple: [Antihydrogen Laser Physics Apparatus, hasAcronym, ALPHA]
Generated description
ALPHA is a CERN-based experimental collaboration that studies the properties of antihydrogen to test fundamental symmetries in physics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ALPHA Target entity description: ALPHA is a CERN-based experimental collaboration that studies the properties of antihydrogen to test fundamental symmetries in physics.
-
A.
Alpha
Alpha is the first letter of the Greek alphabet, often symbolizing beginnings, primacy, or the starting point in various contexts.
-
B.
Alpha
Alpha is Sony’s line of interchangeable-lens mirrorless and DSLR-style digital cameras aimed at photography enthusiasts and professionals.
-
C.
Alpha
Alpha is the ruthless and enigmatic leader of the Whisperers, a group of survivors who live among and disguise themselves as walkers in The Walking Dead universe.
-
D.
Alpha
Alpha is a fictional planet that serves as a setting in various works of science fiction.
-
E.
Alpha 60
Alpha 60 is the authoritarian, emotionless supercomputer that controls the dystopian city in Jean-Luc Godard’s science-fiction film "Alphaville."
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc605005788190a4df1fe317f3056a |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf896cf5a8819098a76288bd505c1e |
completed | April 3, 2026, 9:33 a.m. |
| NEDg | Description generation | batch_69cf8adfe8a08190a959f650207a2ca8 |
completed | April 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8bc521dc81908918b48a25f290bb |
completed | April 3, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:47 p.m.