Triple
T17239313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Violet Asquith |
E418445
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Helen
Helen is a feminine given name of Greek origin, historically associated with beauty and light and borne by numerous notable figures.
|
E791531
|
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: [Helen Violet Asquith, givenName, Helen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Context triple: [Helen Violet Asquith, givenName, Helen]
-
A.
Helen
Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
-
B.
Helen
Helen is a central survivor and maternal figure in the post-apocalyptic film "Waterworld," known for her determination to protect the child Enola and seek the mythical Dryland.
-
C.
Helen
Helen is a fictional protagonist associated with a narrative set in or around New York City's Central Park.
-
D.
Helen
Helen is a fictional character from the 1930 aviation war film "Hell's Angels," which is renowned for its groundbreaking aerial combat sequences and early sound-era spectacle.
-
E.
Helen
Helen is a person characterized in this context by her adversarial relationship with Deacon.
- 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: [Helen Violet Asquith, givenName, Helen]
Generated description
Helen is a feminine given name of Greek origin, historically associated with beauty and light and borne by numerous notable figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Target entity description: Helen is a feminine given name of Greek origin, historically associated with beauty and light and borne by numerous notable figures.
-
A.
Helen
chosen
Helen is a feminine given name of Greek origin, traditionally associated with beauty and light and popular in many English-speaking countries.
-
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 a Greek and Danish princess of the early 20th century, known as Princess Helen of Greece and Denmark.
-
D.
Helen
Helen is the given name of Maria Helen Van Schaack, likely used as her primary personal name.
-
E.
Helen
Helen is the given first name of the British philosopher and life peer Mary Warnock.
- F. None of above.
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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfdc8688190aceb223c19a48781 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180ca18c081909ef80a4056b3dbf7 |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a01827fc64c81909784dbf0f3ed4586 |
completed | May 11, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0182f52dd88190afa4ec4a711552e5 |
completed | May 11, 2026, 7:19 a.m. |
Created at: April 10, 2026, 5:39 a.m.