Triple
T6112166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lester del Rey |
E136268
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Helen O'Loy
Helen O'Loy is a classic science fiction short story about a robot woman and human love, written by American author Lester del Rey.
|
E569256
|
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 O'Loy | Statement: [Lester del Rey, notableWork, Helen O'Loy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen O'Loy Context triple: [Lester del Rey, notableWork, Helen O'Loy]
-
A.
Hera Gamelia
Hera Gamelia is an aspect of the Greek goddess Hera worshipped as the protector of marriage and the wedding rite.
-
B.
Helene
Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
-
C.
Helene
Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
-
D.
Helen
Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
-
E.
Helen
Helen is the mute, terrorized heroine of the classic 1946 psychological thriller film "The Spiral Staircase."
- 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 O'Loy Triple: [Lester del Rey, notableWork, Helen O'Loy]
Generated description
Helen O'Loy is a classic science fiction short story about a robot woman and human love, written by American author Lester del Rey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen O'Loy Target entity description: Helen O'Loy is a classic science fiction short story about a robot woman and human love, written by American author Lester del Rey.
-
A.
Hera Gamelia
Hera Gamelia is an aspect of the Greek goddess Hera worshipped as the protector of marriage and the wedding rite.
-
B.
Helene
Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
-
C.
Helene
Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
-
D.
Helen
Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
-
E.
Helen
Helen is the given first name of New Zealand actress Pat Evison, known for her work in film, television, and theatre.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bbde2048190909aa3a8097bcf93 |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125631e008190921206b9e355202b |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c1281a40a0819083e1ed6fe5433016 |
completed | March 23, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c12891264c81908eec332350863b4a |
completed | March 23, 2026, 11:48 a.m. |
Created at: March 22, 2026, 4:13 p.m.