Triple
T7025014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André De Toth |
E162921
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Endre
Endre is the Hungarian given name of film director André De Toth, known for his work in mid-20th-century cinema.
|
E636825
|
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: Endre | Statement: [André De Toth, givenName, Endre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Endre Context triple: [André De Toth, givenName, Endre]
-
A.
Hendre
Hendre is a residential suburb within the community of Pontyclun in Rhondda Cynon Taf, South Wales.
-
B.
Trondenes
Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
-
C.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
D.
Ulsrud
Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
-
E.
Lilleaker
Lilleaker is a residential neighborhood in western Oslo, Norway, known for its mix of housing, green areas, and proximity to the Lysaker River.
- 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: Endre Triple: [André De Toth, givenName, Endre]
Generated description
Endre is the Hungarian given name of film director André De Toth, known for his work in mid-20th-century cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Endre Target entity description: Endre is the Hungarian given name of film director André De Toth, known for his work in mid-20th-century cinema.
-
A.
Hendre
Hendre is a residential suburb within the community of Pontyclun in Rhondda Cynon Taf, South Wales.
-
B.
Trondenes
Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
-
C.
Hafslund
Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
-
D.
Ulsrud
Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
-
E.
Lilleaker
Lilleaker is a residential neighborhood in western Oslo, Norway, known for its mix of housing, green areas, and proximity to the Lysaker River.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fb8f0c8190b15dd7ce7ab6a8f2 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77581e2a88190ad2ec9855772c6a5 |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c7768f12648190a8e9855af2458a94 |
completed | March 28, 2026, 6:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c776bdf56c8190a9fa83d6f2697f1b |
completed | March 28, 2026, 6:35 a.m. |
Created at: March 27, 2026, 2:35 p.m.