Triple
T14622085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Hathaway |
E343247
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Kate Ross
Kate Ross is the daughter of Carol Hathaway, a central character from the television series "ER."
|
E1110340
|
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: Kate Ross | Statement: [Carol Hathaway, hasChild, Kate Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Ross Context triple: [Carol Hathaway, hasChild, Kate Ross]
-
A.
Kate Russell
Kate Russell is a British technology journalist and television presenter best known for her work on the BBC’s technology program "Click."
-
B.
Tessa Ross
Tessa Ross is a prominent British film and television producer known for backing acclaimed, often auteur-driven projects across UK cinema and high-end TV drama.
-
C.
Kate Walter
Kate Walter is the daughter of acclaimed British actress and comedian Hermione Gingold.
-
D.
Kate Williams
Kate Williams is a British historian, author, and television presenter known for her works on royal history and biography.
-
E.
Kate Williams
Kate Williams is a film editor known for her work on the acclaimed independent drama "Frozen River."
- 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: Kate Ross Triple: [Carol Hathaway, hasChild, Kate Ross]
Generated description
Kate Ross is the daughter of Carol Hathaway, a central character from the television series "ER."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Ross Target entity description: Kate Ross is the daughter of Carol Hathaway, a central character from the television series "ER."
-
A.
Kate Russell
Kate Russell is a British technology journalist and television presenter best known for her work on the BBC’s technology program "Click."
-
B.
Tessa Ross
Tessa Ross is a prominent British film and television producer known for backing acclaimed, often auteur-driven projects across UK cinema and high-end TV drama.
-
C.
Kate Walter
Kate Walter is the daughter of acclaimed British actress and comedian Hermione Gingold.
-
D.
Kate Williams
Kate Williams is a British historian, author, and television presenter known for her works on royal history and biography.
-
E.
Kate Williams
Kate Williams is a film editor known for her work on the acclaimed independent drama "Frozen River."
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb466a61c81908a110d40fb959b6f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9288e748190bf65a01803265a73 |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb27c8db481909330d299faded4f3 |
completed | May 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb3b24320819098dd7fab0c3a0507 |
completed | May 8, 2026, 9:58 a.m. |
Created at: April 10, 2026, 1:25 a.m.