Triple
T11136267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naomi Ackie |
E263419
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object |
Jannah
Jannah is a character in the Star Wars sequel trilogy, introduced as a former First Order stormtrooper who joins the Resistance.
|
E908041
|
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: Jannah | Statement: [Naomi Ackie, portrayedCharacter, Jannah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jannah Context triple: [Naomi Ackie, portrayedCharacter, Jannah]
-
A.
Jannah (Paradise)
Jannah (Paradise) is the eternal, blissful abode in Islamic belief where the righteous dwell in nearness to God, enjoying perfect peace, reward, and happiness.
-
B.
Beheshti
Beheshti is an Iranian surname most notably associated with Mohammad Beheshti, a prominent cleric and key figure in the early Islamic Republic of Iran.
-
C.
جنّاتة
جنّاتة هي بلدة فلسطينية تقع في محافظة بيت لحم بالضفة الغربية وتشتهر بطابعها الريفي وارتباطها بالبيئة الزراعية المحيطة.
-
D.
Juhayna
Juhayna is a town in Egypt’s Sohag Governorate, located in Upper Egypt along the Nile Valley.
-
E.
Jardim de Alah
Jardim de Alah is a neighborhood and park area in Rio de Janeiro, Brazil, known for its canals, green spaces, and proximity to the city’s famous beaches.
- 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: Jannah Triple: [Naomi Ackie, portrayedCharacter, Jannah]
Generated description
Jannah is a character in the Star Wars sequel trilogy, introduced as a former First Order stormtrooper who joins the Resistance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jannah Target entity description: Jannah is a character in the Star Wars sequel trilogy, introduced as a former First Order stormtrooper who joins the Resistance.
-
A.
Jannah (Paradise)
Jannah (Paradise) is the eternal, blissful abode in Islamic belief where the righteous dwell in nearness to God, enjoying perfect peace, reward, and happiness.
-
B.
Beheshti
Beheshti is an Iranian surname most notably associated with Mohammad Beheshti, a prominent cleric and key figure in the early Islamic Republic of Iran.
-
C.
جنّاتة
جنّاتة هي بلدة فلسطينية تقع في محافظة بيت لحم بالضفة الغربية وتشتهر بطابعها الريفي وارتباطها بالبيئة الزراعية المحيطة.
-
D.
Juhayna
Juhayna is a town in Egypt’s Sohag Governorate, located in Upper Egypt along the Nile Valley.
-
E.
Jardim de Alah
Jardim de Alah is a neighborhood and park area in Rio de Janeiro, Brazil, known for its canals, green spaces, and proximity to the city’s famous beaches.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85daddc8190a1ae2a4a75cc8d50 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441fa286881909a8279a8ea6944e7 |
completed | April 19, 2026, 2:46 a.m. |
| NEDg | Description generation | batch_69e44c09163481909d6a469b1e50b6ff |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4519f4d408190be9863c72006ecad |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 8, 2026, 9:28 p.m.