Triple
T4389902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyeless in Gaza |
E99336
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Helen
Helen is a character in Aldous Huxley’s novel "Eyeless in Gaza," representing one of the key figures in the book’s exploration of memory, morality, and personal transformation.
|
E435937
|
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: Helen | Statement: [Eyeless in Gaza, hasCharacter, Helen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Context triple: [Eyeless in Gaza, hasCharacter, Helen]
-
A.
Helen
Helen is the birth name of Beatrix Potter, the renowned English writer and illustrator best known for her children's books featuring animal characters such as Peter Rabbit.
-
B.
Helen
Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
-
C.
Helen
Helen is the mute, terrorized heroine of the classic 1946 psychological thriller film "The Spiral Staircase."
-
D.
Helen
Helen is the given first name of Violet Bonham Carter, a prominent British Liberal politician and orator of the 20th century.
-
E.
Helene
Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
- 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: Helen Triple: [Eyeless in Gaza, hasCharacter, Helen]
Generated description
Helen is a character in Aldous Huxley’s novel "Eyeless in Gaza," representing one of the key figures in the book’s exploration of memory, morality, and personal transformation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Target entity description: Helen is a character in Aldous Huxley’s novel "Eyeless in Gaza," representing one of the key figures in the book’s exploration of memory, morality, and personal transformation.
-
A.
Helen
Helen is the birth name of Beatrix Potter, the renowned English writer and illustrator best known for her children's books featuring animal characters such as Peter Rabbit.
-
B.
Helen
Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
-
C.
Helen
Helen is the mute, terrorized heroine of the classic 1946 psychological thriller film "The Spiral Staircase."
-
D.
Helen
Helen is the given first name of Violet Bonham Carter, a prominent British Liberal politician and orator of the 20th century.
-
E.
Helene
Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35282cb2c8190856da20bb87e88ff |
completed | March 12, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e52d63c08190bc98c090cfe0ff1c |
completed | March 14, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69b5e5b3ba208190b6cb5e40f9e744e8 |
completed | March 14, 2026, 10:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e62af694819086b3eddb71f591d2 |
completed | March 14, 2026, 10:50 p.m. |
Created at: March 12, 2026, 11:19 p.m.