Triple
T17583008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Wynalda |
E428250
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wynalda
Wynalda is the surname of Eric Wynalda, a prominent former American soccer player and coach.
|
E1276421
|
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: Wynalda | Statement: [Eric Wynalda, familyName, Wynalda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wynalda Context triple: [Eric Wynalda, familyName, Wynalda]
-
A.
Wandella
Wandella is a rural locality within New South Wales, Australia, administered as part of the Carrathool Shire local government area.
-
B.
Wilda
Wilda is a district of the Polish city of Poznań, known for its mix of historic architecture, industrial heritage, and growing residential and cultural areas.
-
C.
Gwenda
Gwenda is a central protagonist in Ken Follett's historical novel "World Without End," known for her resilience and determination amid the social and political upheavals of 14th-century England.
-
D.
Welun
Welun is the German name for the Polish town of Wieluń, known for being one of the first places bombed at the start of World War II.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- 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: Wynalda Triple: [Eric Wynalda, familyName, Wynalda]
Generated description
Wynalda is the surname of Eric Wynalda, a prominent former American soccer player and coach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wynalda Target entity description: Wynalda is the surname of Eric Wynalda, a prominent former American soccer player and coach.
-
A.
Wandella
Wandella is a rural locality within New South Wales, Australia, administered as part of the Carrathool Shire local government area.
-
B.
Wilda
Wilda is a district of the Polish city of Poznań, known for its mix of historic architecture, industrial heritage, and growing residential and cultural areas.
-
C.
Gwenda
Gwenda is a central protagonist in Ken Follett's historical novel "World Without End," known for her resilience and determination amid the social and political upheavals of 14th-century England.
-
D.
Welun
Welun is the German name for the Polish town of Wieluń, known for being one of the first places bombed at the start of World War II.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463cf556881908d2935b3761f65df |
completed | April 19, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01ddef82d48190a5940f7da646c380 |
completed | May 11, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a01de93c1448190aa2328919d407252 |
completed | May 11, 2026, 1:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01e05515d88190b343ebc1aad4a351 |
completed | May 11, 2026, 1:57 p.m. |
Created at: April 10, 2026, 5:50 a.m.