Triple
T7390260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Sontag |
E170479
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Susan
Susan is the given name of the American writer, filmmaker, and political activist Susan Sontag, renowned for her influential essays on culture and aesthetics.
|
E662537
|
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: Susan | Statement: [Susan Sontag, givenName, Susan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Context triple: [Susan Sontag, givenName, Susan]
-
A.
Susan
Susan is the middle name of Olivia Susan Clemens.
-
B.
Susan
Susan is the birth name of American actress Sigourney Weaver, renowned for her iconic roles in science fiction and horror films such as the Alien franchise.
-
C.
Susan
Susan is a supporting character in the "Nosedive" episode of the anthology television series Black Mirror.
-
D.
Susan
Susan "Suze" Rotolo was an American artist and political activist best known as Bob Dylan’s early 1960s girlfriend and the woman pictured with him on the cover of his album "The Freewheelin’ Bob Dylan."
-
E.
Susan
Susan is the given name of American actress Susan Kelechi Watson, known for her role as Beth Pearson on the television series "This Is Us."
- 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: Susan Triple: [Susan Sontag, givenName, Susan]
Generated description
Susan is the given name of the American writer, filmmaker, and political activist Susan Sontag, renowned for her influential essays on culture and aesthetics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Target entity description: Susan is the given name of the American writer, filmmaker, and political activist Susan Sontag, renowned for her influential essays on culture and aesthetics.
-
A.
Susan
Susan is the given name of Susan B. Anthony, a leading American social reformer and key figure in the women’s suffrage movement.
-
B.
Susan
Susan is the birth name of American actress Sigourney Weaver, renowned for her iconic roles in science fiction and horror films such as the Alien franchise.
-
C.
Susan
Susan is the given name of American painter and photographer Susan Macdowell Eakins, known for her portraits and still lifes.
-
D.
Susan
Susan is the given name of American actress Susan Kelechi Watson, known for her role as Beth Pearson on the television series "This Is Us."
-
E.
Susan
Susan is a feminine given name of Hebrew origin meaning "lily" that has been widely used in English-speaking countries.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2216a5c8190a933b24fda4530d8 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810f2bff4819093b0082dec4ee773 |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c814ff89708190a6a626ac204f8c6b |
completed | March 28, 2026, 5:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c819174bc48190b5575818ccc2f144 |
completed | March 28, 2026, 6:08 p.m. |
Created at: March 27, 2026, 3:09 p.m.