Triple
T8829379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Rosenfeld Lewis Bialosky Lab Theatre |
E210094
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
The Helen
The Helen is a performance space within the Helen Rosenfeld Lewis Bialosky Lab Theatre complex, used for theatrical productions and related arts events.
|
E761801
|
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: The Helen | Statement: [Helen Rosenfeld Lewis Bialosky Lab Theatre, alsoKnownAs, The Helen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Helen Context triple: [Helen Rosenfeld Lewis Bialosky Lab Theatre, alsoKnownAs, The Helen]
-
A.
Clelia
Clelia is an Italian feminine given name of Latin origin, historically associated with the legendary Roman heroine Cloelia.
-
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 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.
-
E.
Helen
Helen is a character from the British television sitcom "Out of This World."
- 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: The Helen Triple: [Helen Rosenfeld Lewis Bialosky Lab Theatre, alsoKnownAs, The Helen]
Generated description
The Helen is a performance space within the Helen Rosenfeld Lewis Bialosky Lab Theatre complex, used for theatrical productions and related arts events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Helen Target entity description: The Helen is a performance space within the Helen Rosenfeld Lewis Bialosky Lab Theatre complex, used for theatrical productions and related arts events.
-
A.
Clelia
Clelia is an Italian feminine given name of Latin origin, historically associated with the legendary Roman heroine Cloelia.
-
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 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.
-
E.
Helen
Helen is a character from the British television sitcom "Out of This World."
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc604c52a48190807e46c15e3c1558 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf896382708190a08c6bacf1157066 |
completed | April 3, 2026, 9:33 a.m. |
| NEDg | Description generation | batch_69cf8ab6c1a8819097b8a84902a10296 |
completed | April 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8bc521dc81908918b48a25f290bb |
completed | April 3, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:47 p.m.