Triple
T9539185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doris Totten Chase |
E230102
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Doris
Doris is a feminine given name of Greek origin, historically associated with the Dorian people and meaning “from Doris” or “gift.”
|
E812000
|
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: Doris | Statement: [Doris Totten Chase, givenName, Doris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doris Context triple: [Doris Totten Chase, givenName, Doris]
-
A.
Doris
Doris is the given name of Doris Buffett, an American philanthropist and sister of investor Warren Buffett, known for her charitable work and focus on direct, person-to-person giving.
-
B.
Doris
Doris is an Oceanid from Greek mythology, known as the wife of the sea god Nereus and mother of the Nereids.
-
C.
Doris
Doris was the first wife of Herod the Great and the mother of his son Antipater in the Herodian royal family.
-
D.
Gladys
Gladys is a feminine given name of English origin that was especially popular in the late 19th and early 20th centuries.
-
E.
Doris Dowling
Doris Dowling was an American film and television actress best known for her roles in classic 1940s noir and drama films.
- 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: Doris Triple: [Doris Totten Chase, givenName, Doris]
Generated description
Doris is a feminine given name of Greek origin, historically associated with the Dorian people and meaning “from Doris” or “gift.”
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doris Target entity description: Doris is a feminine given name of Greek origin, historically associated with the Dorian people and meaning “from Doris” or “gift.”
-
A.
Doris
Doris is an Oceanid from Greek mythology, known as the wife of the sea god Nereus and mother of the Nereids.
-
B.
Doris
Doris was the first wife of Herod the Great and the mother of his son Antipater in the Herodian royal family.
-
C.
Doris
Doris is the given name of Doris Buffett, an American philanthropist and sister of investor Warren Buffett, known for her charitable work and focus on direct, person-to-person giving.
-
D.
Gladys
Gladys is a feminine given name of English origin that was especially popular in the late 19th and early 20th centuries.
-
E.
Doris Dowling
Doris Dowling was an American film and television actress best known for her roles in classic 1940s noir and drama 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e4df6c8190a4d1160c42daa45f |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18211c1408190806823e93932c64c |
completed | April 4, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d1841dd14c8190b682aefee284be67 |
completed | April 4, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18478a9988190b55d13da3f6b0333 |
completed | April 4, 2026, 9:36 p.m. |
Created at: March 30, 2026, 8:01 p.m.