Triple
T18524159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eileen Heckart |
E452670
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Anna
Anna is the given first name of the American actress Eileen Heckart, known for her work on stage, film, and television.
|
E1330785
|
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: Anna | Statement: [Eileen Heckart, givenName, Anna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Context triple: [Eileen Heckart, givenName, Anna]
-
A.
Anna
Anna is the given name of Anna Murray Douglass, an African American abolitionist and the first wife of Frederick Douglass.
-
B.
Anna
Anna is a character from the "Predator" franchise, appearing as one of the human figures caught up in the deadly encounters with the extraterrestrial hunter.
-
C.
Anna
Anna is a supporting character in Hector Berlioz’s grand opera *Les Troyens*, typically portrayed as Dido’s loyal sister and confidante.
-
D.
Anna
Anna is the popular nickname of C. N. Annadurai, a prominent Indian politician, writer, and founder of the Dravida Munnetra Kazhagam (DMK) party who served as Chief Minister of Tamil Nadu.
-
E.
Anna
Anna is a central fictional character in Michael Ondaatje's novel "Divisadero," around whom much of the story's emotional and narrative complexity revolves.
- 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: Anna Triple: [Eileen Heckart, givenName, Anna]
Generated description
Anna is the given first name of the American actress Eileen Heckart, known for her work on stage, film, and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Target entity description: Anna is the given first name of the American actress Eileen Heckart, known for her work on stage, film, and television.
-
A.
Anna
Anna is the given first name of the American actress, comedian, and director Nancy Walker.
-
B.
Anna
Anna is the given name of American stage and film actress Ann Dvorak, known for her roles in early 20th-century cinema.
-
C.
Anna
Anna is the given name of Anne Bancroft, the acclaimed American actress best known for her role as Mrs. Robinson in "The Graduate."
-
D.
Anna
Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
-
E.
Anna
Anna is the given first name of Anny Ondra, the Czech-Austrian film actress best known for her work in early European cinema and Alfred Hitchcock’s films.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533908b0c81908725baf828aa46ff |
completed | April 19, 2026, 7:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ad34a648190b551ef7e93cf0d22 |
completed | May 13, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_6a04a0f470ac8190a0a8561bf1b288df |
completed | May 13, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04a1cce5cc8190b75dbc17354bde5a |
completed | May 13, 2026, 4:07 p.m. |
Created at: April 10, 2026, 11:37 a.m.