Triple
T13756574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Emilfork |
E330490
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Emilfork
Emilfork is a distinctive Chilean-born French character actor best known for his gaunt appearance and roles in European fantasy and horror films.
|
E1059027
|
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: Emilfork | Statement: [Daniel Emilfork, familyName, Emilfork]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emilfork Context triple: [Daniel Emilfork, familyName, Emilfork]
-
A.
Ourém
Ourém is a historic municipality and pilgrimage destination in central Portugal, best known for its proximity to the Sanctuary of Fátima.
-
B.
Fossbergom
Fossbergom is a village in Innlandet county, Norway, serving as the main settlement and service hub for the surrounding Lom municipality in the Ottadalen valley.
-
C.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
-
D.
Nannfeldt
Nannfeldt was a mycologist and taxonomist known for his influential work on the classification and nomenclature of fungi, particularly within the Ascomycota.
-
E.
Oberems
Oberems is a village and municipal district within the municipality of Glashütten in the Hochtaunus region of Hesse, Germany.
- 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: Emilfork Triple: [Daniel Emilfork, familyName, Emilfork]
Generated description
Emilfork is a distinctive Chilean-born French character actor best known for his gaunt appearance and roles in European fantasy and horror films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emilfork Target entity description: Emilfork is a distinctive Chilean-born French character actor best known for his gaunt appearance and roles in European fantasy and horror films.
-
A.
Ourém
Ourém is a historic municipality and pilgrimage destination in central Portugal, best known for its proximity to the Sanctuary of Fátima.
-
B.
Fossbergom
Fossbergom is a village in Innlandet county, Norway, serving as the main settlement and service hub for the surrounding Lom municipality in the Ottadalen valley.
-
C.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
-
D.
Nannfeldt
Nannfeldt was a mycologist and taxonomist known for his influential work on the classification and nomenclature of fungi, particularly within the Ascomycota.
-
E.
Oberems
Oberems is a village and municipal district within the municipality of Glashütten in the Hochtaunus region of Hesse, Germany.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022286b481908f8a801042743512 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a859e6748190aa1899830a02b710 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a91edc288190a95079e3ca11cfa7 |
completed | May 3, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a9c3c6548190802e1163c9c35b67 |
completed | May 3, 2026, 8:02 p.m. |
Created at: April 9, 2026, 10:09 p.m.