Triple
T18484936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 2976 |
E451662
|
entity |
| Predicate | morphologicalType |
P1250
|
FINISHED |
| Object |
SAc
SAc is a subtype of spiral galaxy characterized by very loosely wound arms and a small or indistinct central bulge.
|
E1326887
|
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: SAc | Statement: [NGC 2976, morphologicalType, SAc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAc Context triple: [NGC 2976, morphologicalType, SAc]
-
A.
SAC
The SAC is Myanmar’s military junta that seized power in the 2021 coup and has since served as the country’s de facto governing authority.
-
B.
SAC
SAC is the National Rail station code for St Albans City railway station in Hertfordshire, England.
-
C.
SAC
SAC is the commonly used abbreviation for the Sheriff Appeal Court, a Scottish appellate court that hears civil and criminal appeals from sheriff courts.
-
D.
SAC
SAC is the commonly used abbreviation for the United States Air Force’s former Strategic Air Command, which oversaw America’s land-based nuclear bombers and missiles during much of the Cold War.
-
E.
SAC
SAC is a NATO-led multinational program that provides participating nations with shared strategic airlift capabilities using a fleet of C-17 Globemaster III aircraft.
- 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: SAc Triple: [NGC 2976, morphologicalType, SAc]
Generated description
SAc is a subtype of spiral galaxy characterized by very loosely wound arms and a small or indistinct central bulge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAc Target entity description: SAc is a subtype of spiral galaxy characterized by very loosely wound arms and a small or indistinct central bulge.
-
A.
SAC
SAC is the commonly used abbreviation for the Sheriff Appeal Court, a Scottish appellate court that hears civil and criminal appeals from sheriff courts.
-
B.
SAC
SAC is the commonly used abbreviation for the United States Air Force’s former Strategic Air Command, which oversaw America’s land-based nuclear bombers and missiles during much of the Cold War.
-
C.
SAC
The SAC is Myanmar’s military junta that seized power in the 2021 coup and has since served as the country’s de facto governing authority.
-
D.
SAC
SAC is the National Rail station code for St Albans City railway station in Hertfordshire, England.
-
E.
SAC
SAC (Soft Actor-Critic) is a popular off-policy deep reinforcement learning algorithm that optimizes both expected return and policy entropy to achieve stable and efficient learning in continuous control tasks.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d6502c8190af167b954bf8e989 |
completed | April 19, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a043f33d2ec8190bab6d3ba35ab82d8 |
completed | May 13, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_6a0440531f6c8190a080d372d063fb33 |
completed | May 13, 2026, 9:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0441a395688190a376ae5bfe99a30f |
completed | May 13, 2026, 9:17 a.m. |
Created at: April 10, 2026, 11:35 a.m.