Triple
T7362127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallelujah, Baby! |
E169775
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Lillian Hayman
Lillian Hayman was an American actress and singer best known for her Tony Award–winning performance in the Broadway musical "Hallelujah, Baby!"
|
E674984
|
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: Lillian Hayman | Statement: [Hallelujah, Baby!, starred, Lillian Hayman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lillian Hayman Context triple: [Hallelujah, Baby!, starred, Lillian Hayman]
-
A.
Lillian Lehman
Lillian Lehman is an American actress known for her extensive work in television dramas and soap operas, including roles on shows like "Hill Street Blues" and "Sunset Beach."
-
B.
Helen Morris
Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
-
C.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
-
D.
Ruth Storey
Ruth Storey was an American actress active in the mid-20th century, known for her supporting roles in film and television.
-
E.
Helen Gardner
Helen Gardner is a noted literary scholar and critic, best known for her influential work on English poetry and Renaissance literature.
- 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: Lillian Hayman Triple: [Hallelujah, Baby!, starred, Lillian Hayman]
Generated description
Lillian Hayman was an American actress and singer best known for her Tony Award–winning performance in the Broadway musical "Hallelujah, Baby!"
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lillian Hayman Target entity description: Lillian Hayman was an American actress and singer best known for her Tony Award–winning performance in the Broadway musical "Hallelujah, Baby!"
-
A.
Lillian Lehman
Lillian Lehman is an American actress known for her extensive work in television dramas and soap operas, including roles on shows like "Hill Street Blues" and "Sunset Beach."
-
B.
Helen Morris
Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
-
C.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
-
D.
Ruth Storey
Ruth Storey was an American actress active in the mid-20th century, known for her supporting roles in film and television.
-
E.
Helen Gardner
Helen Gardner is a noted literary scholar and critic, best known for her influential work on English poetry and Renaissance literature.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f15f218081909b5cc7a8cc695055 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86130228c819098544e5354c31b44 |
completed | March 28, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69c862677e008190928ac5b4a47906fc |
completed | March 28, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8630fe8608190afc7b67d9a80240b |
completed | March 28, 2026, 11:24 p.m. |
Created at: March 27, 2026, 3:06 p.m.