Triple
T296087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idris Elba |
E6094
|
entity |
| Predicate | characterRole |
P268
|
FINISHED |
| Object |
Heimdall
Heimdall is a powerful Asgardian guardian in the Marvel universe, known for his all-seeing vision, immense strength, and duty to watch over the Bifröst Bridge.
|
E38399
|
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: Heimdall | Statement: [Idris Elba, characterRole, Heimdall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heimdall Context triple: [Idris Elba, characterRole, Heimdall]
-
A.
Gunnar
Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
-
B.
Audun Tron
Audun Tron is a Norwegian politician who served as the mayor of Lillehammer during the period when the city hosted the 1994 Winter Olympics.
-
C.
Thersander
Thersander is a figure in Greek mythology, known as a descendant of the royal house of Thebes and one of the Epigoni who attacked the city.
-
D.
Hanna Lejonqvist
Hanna Lejonqvist is a film editor known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
E.
Johanus
Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
- 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: Heimdall Triple: [Idris Elba, characterRole, Heimdall]
Generated description
Heimdall is a powerful Asgardian guardian in the Marvel universe, known for his all-seeing vision, immense strength, and duty to watch over the Bifröst Bridge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heimdall Target entity description: Heimdall is a powerful Asgardian guardian in the Marvel universe, known for his all-seeing vision, immense strength, and duty to watch over the Bifröst Bridge.
-
A.
Gunnar
Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
-
B.
Audun Tron
Audun Tron is a Norwegian politician who served as the mayor of Lillehammer during the period when the city hosted the 1994 Winter Olympics.
-
C.
Thersander
Thersander is a figure in Greek mythology, known as a descendant of the royal house of Thebes and one of the Epigoni who attacked the city.
-
D.
Hanna Lejonqvist
Hanna Lejonqvist is a film editor known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
E.
Johanus
Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e979663481908cf9622e59fed041 |
completed | Feb. 28, 2026, 1:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a88778b48190856af2e89d21621a |
completed | March 1, 2026, 2:46 a.m. |
| NEDg | Description generation | batch_69a3a8f94d848190ad2410b5f8f8f79d |
completed | March 1, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3a96d153081909fab6bace45206ec |
completed | March 1, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.