Triple
T8719364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Orientales |
E206972
|
entity |
| Predicate | notablePoem |
P4
|
FINISHED |
| Object |
Les Djinns
Les Djinns is a celebrated poem by Victor Hugo that vividly depicts a supernatural invasion through its innovative, rhythmically intensifying structure.
|
E754072
|
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: Les Djinns | Statement: [Les Orientales, notablePoem, Les Djinns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Djinns Context triple: [Les Orientales, notablePoem, Les Djinns]
-
A.
Two Djinn
"Two Djinn" is a song by the band RatDog, known for blending rock, jazz, and improvisational jam elements.
-
B.
Shaitan
Shaitan is a figure in Islamic belief commonly identified as the Devil, representing evil, temptation, and rebellion against God.
-
C.
In the Face of Jinn
In the Face of Jinn is a novel by Cheryl Howard that follows two American sisters on a transformative journey through Pakistan and India after a family tragedy.
-
D.
Thousand & One
Thousand & One is a prominent Class A office tower within the Water Street Tampa development, known for its modern design and premium commercial workspace.
-
E.
Fanaa
Fanaa is a 2006 Indian romantic thriller film that blends love and terrorism, starring Aamir Khan and Kajol.
- 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: Les Djinns Triple: [Les Orientales, notablePoem, Les Djinns]
Generated description
Les Djinns is a celebrated poem by Victor Hugo that vividly depicts a supernatural invasion through its innovative, rhythmically intensifying structure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Les Djinns Target entity description: Les Djinns is a celebrated poem by Victor Hugo that vividly depicts a supernatural invasion through its innovative, rhythmically intensifying structure.
-
A.
Two Djinn
"Two Djinn" is a song by the band RatDog, known for blending rock, jazz, and improvisational jam elements.
-
B.
Shaitan
Shaitan is a figure in Islamic belief commonly identified as the Devil, representing evil, temptation, and rebellion against God.
-
C.
In the Face of Jinn
In the Face of Jinn is a novel by Cheryl Howard that follows two American sisters on a transformative journey through Pakistan and India after a family tragedy.
-
D.
Thousand & One
Thousand & One is a prominent Class A office tower within the Water Street Tampa development, known for its modern design and premium commercial workspace.
-
E.
Fanaa
Fanaa is a 2006 Indian romantic thriller film that blends love and terrorism, starring Aamir Khan and Kajol.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d014e208190a4c6055901580d0c |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28ec7148819096f7fa33e4588b62 |
completed | April 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69cf2bd222b08190907ba7e98991996e |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2fcb5e7c819086b441d1ef4fc368 |
completed | April 3, 2026, 3:11 a.m. |
Created at: March 30, 2026, 6:36 p.m.