Triple
T66072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Institute of Physics |
E1316
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
|
E4713
|
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: Optica | Statement: [American Institute of Physics, hasMember, Optica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Optica Context triple: [American Institute of Physics, hasMember, Optica]
-
A.
Fiat Lux
Fiat Lux is a Latin phrase meaning "Let there be light," used as the inspirational motto of the University of California, Berkeley.
-
B.
Rockwell
Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
-
C.
Veritas
Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
-
D.
ONR Global
ONR Global is the international arm of the U.S. Office of Naval Research that fosters and funds scientific collaboration and innovation with partners around the world to support naval and marine technologies.
-
E.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
- 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: Optica Triple: [American Institute of Physics, hasMember, Optica]
Generated description
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Optica Target entity description: Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
-
A.
Fiat Lux
Fiat Lux is a Latin phrase meaning "Let there be light," used as the inspirational motto of the University of California, Berkeley.
-
B.
Rockwell
Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
-
C.
Veritas
Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
-
D.
ONR Global
ONR Global is the international arm of the U.S. Office of Naval Research that fosters and funds scientific collaboration and innovation with partners around the world to support naval and marine technologies.
-
E.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a24ee6ba348190b00977285d74d8f5 |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2554da8848190a445b503d98769aa |
completed | Feb. 28, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_69a255b409a081908871ed7fee07be29 |
completed | Feb. 28, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a256e8f7ec81909450c07bf7bafa0a |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.