Triple
T9626405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mills College |
E232475
|
entity |
| Predicate | athleticsNickname |
P55
|
FINISHED |
| Object |
Cyclones
The Cyclones are the athletic teams that represent Mills College in intercollegiate sports.
|
E809876
|
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: Cyclones | Statement: [Mills College, athleticsNickname, Cyclones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyclones Context triple: [Mills College, athleticsNickname, Cyclones]
-
A.
Cyclones
The Cyclones are the athletic teams representing Iowa State University in collegiate sports competitions.
-
B.
Cyclones
Cyclones is the nickname of the Brooklyn Cyclones, a Minor League Baseball team based in Brooklyn, New York.
-
C.
Cyclone
Cyclone is a family of low-cost, low-power FPGA devices developed by Altera (now part of Intel) for a wide range of embedded and programmable logic applications.
-
D.
Cyclone
Cyclone is a DC Comics superheroine and member of the Justice Society of America known for her wind-manipulating powers and energetic, optimistic personality.
-
E.
Cyclone
Cyclone is a statically typed, safe dialect of C designed to prevent common programming errors such as buffer overflows and memory leaks while retaining low-level control.
- 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: Cyclones Triple: [Mills College, athleticsNickname, Cyclones]
Generated description
The Cyclones are the athletic teams that represent Mills College in intercollegiate sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cyclones Target entity description: The Cyclones are the athletic teams that represent Mills College in intercollegiate sports.
-
A.
Cyclones
The Cyclones are the athletic teams representing Iowa State University in collegiate sports competitions.
-
B.
Cyclones
Cyclones is the nickname of the Brooklyn Cyclones, a Minor League Baseball team based in Brooklyn, New York.
-
C.
Cyclone
Cyclone is a family of low-cost, low-power FPGA devices developed by Altera (now part of Intel) for a wide range of embedded and programmable logic applications.
-
D.
Cyclone
Cyclone is a DC Comics superheroine and member of the Justice Society of America known for her wind-manipulating powers and energetic, optimistic personality.
-
E.
Cyclone
Cyclone is a statically typed, safe dialect of C designed to prevent common programming errors such as buffer overflows and memory leaks while retaining low-level control.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9afc9144819084b208c3d04174ba |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1798129dc819090a29efcbcf34b8e |
completed | April 4, 2026, 8:50 p.m. |
| NEDg | Description generation | batch_69d17a48fa188190af50e4a1b9f1653b |
completed | April 4, 2026, 8:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17ac217188190921d08f8aa7ca833 |
completed | April 4, 2026, 8:55 p.m. |
Created at: March 30, 2026, 8:10 p.m.