Triple
T14060070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillis Grafström |
E338319
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Gillis
Gillis is a masculine given name of Scandinavian origin, notably borne by Swedish figure skater Gillis Grafström.
|
E596404
|
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: Gillis | Statement: [Gillis Grafström, givenName, Gillis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gillis Context triple: [Gillis Grafström, givenName, Gillis]
-
A.
Gillis
Gillis is the surname of the fictional character Dobie Gillis, the protagonist of a mid-20th-century American sitcom and earlier short stories.
-
B.
Gilliland
Gilliland is a surname of English and Irish origin borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Gillies
Gillies is a Scottish-origin surname borne by numerous individuals, including notable figures in sports, arts, and public life.
-
D.
Tuiskon Ziller
Tuiskon Ziller was a 19th-century German philosopher and educator known for developing and systematizing Herbartian pedagogy, significantly shaping modern educational theory.
-
E.
Flinck
Flinck is a Dutch surname most notably associated with the 17th-century painter Govert Flinck, a prominent figure of the Dutch Golden Age.
- 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: Gillis Triple: [Gillis Grafström, givenName, Gillis]
Generated description
Gillis is a masculine given name of Scandinavian origin, notably borne by Swedish figure skater Gillis Grafström.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gillis Target entity description: Gillis is a masculine given name of Scandinavian origin, notably borne by Swedish figure skater Gillis Grafström.
-
A.
Gillis
chosen
Gillis is the surname of the fictional character Dobie Gillis, the protagonist of a mid-20th-century American sitcom and earlier short stories.
-
B.
Gilliland
Gilliland is a surname of English and Irish origin borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Gillies
Gillies is a Scottish-origin surname borne by numerous individuals, including notable figures in sports, arts, and public life.
-
D.
Tuiskon Ziller
Tuiskon Ziller was a 19th-century German philosopher and educator known for developing and systematizing Herbartian pedagogy, significantly shaping modern educational theory.
-
E.
Flinck
Flinck is a Dutch surname most notably associated with the 17th-century painter Govert Flinck, a prominent figure of the Dutch Golden Age.
- F. None of above.
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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5686f51c81908c33143ecbaae83d |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6654850819083262f3fb981eb1a |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc4fa09448190b662af829712e657 |
completed | May 7, 2026, 4:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc5d162c081908750fed589ed2d69 |
completed | May 7, 2026, 5:03 p.m. |
Created at: April 9, 2026, 10:21 p.m.