Triple
T13556696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alyssa Naeher |
E323793
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Naeher
Naeher is the surname of Alyssa Naeher, an American professional soccer goalkeeper known for her role with the United States women's national team.
|
E1046971
|
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: Naeher | Statement: [Alyssa Naeher, familyName, Naeher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naeher Context triple: [Alyssa Naeher, familyName, Naeher]
-
A.
Nelsan
Nelsan is the given name of Nelsan Ellis, an American actor best known for his role as Lafayette Reynolds on the television series "True Blood."
-
B.
Eliassen
Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
-
C.
Larue
Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
-
D.
Nev'i
Nev'i was a prominent 16th-century Ottoman divan poet known for his refined classical style and contributions to courtly literature.
-
E.
Finklea
Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
- 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: Naeher Triple: [Alyssa Naeher, familyName, Naeher]
Generated description
Naeher is the surname of Alyssa Naeher, an American professional soccer goalkeeper known for her role with the United States women's national team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naeher Target entity description: Naeher is the surname of Alyssa Naeher, an American professional soccer goalkeeper known for her role with the United States women's national team.
-
A.
Nelsan
Nelsan is the given name of Nelsan Ellis, an American actor best known for his role as Lafayette Reynolds on the television series "True Blood."
-
B.
Eliassen
Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
-
C.
Larue
Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
-
D.
Nev'i
Nev'i was a prominent 16th-century Ottoman divan poet known for his refined classical style and contributions to courtly literature.
-
E.
Finklea
Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff3063c8190bd20149b3f7df352 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da95b7c8190af4fae155f01d3af |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75ffd5a088190967dae3262a22302 |
completed | May 3, 2026, 2:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f76072de148190b8911df91caa87b5 |
completed | May 3, 2026, 2:49 p.m. |
Created at: April 9, 2026, 9:47 p.m.