Triple
T11341595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Holbert McDaniel |
E268610
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Susan
Susan is a feminine given name of Hebrew origin meaning "lily" or "rose," widely used in English-speaking countries.
|
E559215
|
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 Holbert McDaniel, givenName, Susan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Context triple: [Susan Holbert McDaniel, givenName, Susan]
-
A.
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.
-
B.
Susan
Susan is one of the central child protagonists in Alan Garner’s fantasy novel "The Weirdstone of Brisingamen," who becomes embroiled in a magical struggle in rural Cheshire.
-
C.
Susan
Susan is the middle name of Olivia Susan Clemens.
-
D.
Susan
Susan is the full given name of English actress Sue Johnston, known for her roles in British television dramas and comedies.
-
E.
Susan
Susan is a central female character in the 1971 film "Carnal Knowledge," representing one of the key romantic relationships that shape the protagonists’ emotional lives.
- 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 Holbert McDaniel, givenName, Susan]
Generated description
Susan is a feminine given name of Hebrew origin meaning "lily" or "rose," widely used in English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Target entity description: Susan is a feminine given name of Hebrew origin meaning "lily" or "rose," widely used in English-speaking countries.
-
A.
Susan
chosen
Susan is a feminine given name of Hebrew origin meaning "lily" that has been widely used in English-speaking countries.
-
B.
Susan
Susan is the given name of Susan B. Anthony, a leading American social reformer and key figure in the women’s suffrage movement.
-
C.
Susan
Susan is the given name of Susan Francia, an American rower and two-time Olympic gold medalist.
-
D.
Susan
Susan is the given first name of American political activist and cofounder of Code Pink, Medea Benjamin.
-
E.
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.
- F. None of above.
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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1e360c8190a02d1e2d1d6f4b5d |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5434f04388190813e8beb1b5af55a |
completed | April 19, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69e5474aad3481909c1afb385cb5889b |
completed | April 19, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54edb9ac08190a760de11857e791c |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:33 p.m.