Triple
T3201936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Splendor in the Grass |
E67070
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Zohra Lampert
Zohra Lampert is an American actress known for her nuanced performances in film, television, and theater, including acclaimed roles in 1960s cinema and later cult horror.
|
E335073
|
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: Zohra Lampert | Statement: [Splendor in the Grass, starring, Zohra Lampert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zohra Lampert Context triple: [Splendor in the Grass, starring, Zohra Lampert]
-
A.
Leila Gerstein
Leila Gerstein is an American television writer and producer best known for creating the comedy-drama series "Hart of Dixie."
-
B.
Herta Amir
Herta Amir is a benefactor whose philanthropy is commemorated through the naming of the Herta and Paul Amir Building.
-
C.
Lilian Blumberg
Lilian Blumberg was the mother of British actor and filmmaker Leslie Howard.
-
D.
Esther Raab
Esther Raab was a Jewish Holocaust survivor known for escaping from the Sobibor extermination camp and later bearing witness to its atrocities.
-
E.
Irene Sharaff
Irene Sharaff was an acclaimed American costume designer known for her influential work in Broadway theatre and Hollywood films, earning multiple Academy Awards for her distinctive visual style.
- 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: Zohra Lampert Triple: [Splendor in the Grass, starring, Zohra Lampert]
Generated description
Zohra Lampert is an American actress known for her nuanced performances in film, television, and theater, including acclaimed roles in 1960s cinema and later cult horror.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zohra Lampert Target entity description: Zohra Lampert is an American actress known for her nuanced performances in film, television, and theater, including acclaimed roles in 1960s cinema and later cult horror.
-
A.
Leila Gerstein
Leila Gerstein is an American television writer and producer best known for creating the comedy-drama series "Hart of Dixie."
-
B.
Herta Amir
Herta Amir is a benefactor whose philanthropy is commemorated through the naming of the Herta and Paul Amir Building.
-
C.
Lilian Blumberg
Lilian Blumberg was the mother of British actor and filmmaker Leslie Howard.
-
D.
Esther Raab
Esther Raab was a Jewish Holocaust survivor known for escaping from the Sobibor extermination camp and later bearing witness to its atrocities.
-
E.
Irene Sharaff
Irene Sharaff was an acclaimed American costume designer known for her influential work in Broadway theatre and Hollywood films, earning multiple Academy Awards for her distinctive visual style.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9b046c8819087c0a61c4f9adeb7 |
completed | March 8, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bc7772c8190b286141dac5ea778 |
completed | March 12, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69b24ca05434819080ee515b1e7bdcb4 |
completed | March 12, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b24d19250c81908a9c3ac95b83a473 |
completed | March 12, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:07 p.m.