Triple
T7192318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watts |
E167722
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Serena Watts
Serena Watts is an individual notable enough to be recognized as a prominent bearer of the surname Watts.
|
E648331
|
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: Serena Watts | Statement: [Watts, hasNotableBearer, Serena Watts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serena Watts Context triple: [Watts, hasNotableBearer, Serena Watts]
-
A.
Jessica Rhoades
Jessica Rhoades is a television producer best known for her executive production work on the acclaimed anthology series "Black Mirror."
-
B.
Jessica Rhoades
Jessica Rhoades is a television producer best known for her executive production work on the acclaimed drama series "The Affair."
-
C.
Laura Lyons
Laura Lyons is the mother of American fashion model Lily Aldridge.
-
D.
Joan Holloway
Joan Holloway is a poised and ambitious office manager-turned-partner at a 1960s New York advertising agency in the television series "Mad Men," known for her sharp wit, competence, and complex personal life.
-
E.
Meredith Blake
Meredith Blake is the glamorous, gold-digging fiancée of Nick Parker and primary antagonist in the 1998 film "The Parent Trap."
- 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: Serena Watts Triple: [Watts, hasNotableBearer, Serena Watts]
Generated description
Serena Watts is an individual notable enough to be recognized as a prominent bearer of the surname Watts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Serena Watts Target entity description: Serena Watts is an individual notable enough to be recognized as a prominent bearer of the surname Watts.
-
A.
Jessica Rhoades
Jessica Rhoades is a television producer best known for her executive production work on the acclaimed anthology series "Black Mirror."
-
B.
Jessica Rhoades
Jessica Rhoades is a television producer best known for her executive production work on the acclaimed drama series "The Affair."
-
C.
Laura Lyons
Laura Lyons is the mother of American fashion model Lily Aldridge.
-
D.
Joan Holloway
Joan Holloway is a poised and ambitious office manager-turned-partner at a 1960s New York advertising agency in the television series "Mad Men," known for her sharp wit, competence, and complex personal life.
-
E.
Meredith Blake
Meredith Blake is the glamorous, gold-digging fiancée of Nick Parker and primary antagonist in the 1998 film "The Parent Trap."
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e901ea1481908a9e44f96dd4b553 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf95a1a0819099d252f037c318c7 |
completed | March 28, 2026, 11:46 a.m. |
| NEDg | Description generation | batch_69c7c071778881909a82eedf61cae22b |
completed | March 28, 2026, 11:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c111e05c8190a9cfba3fca1f8198 |
completed | March 28, 2026, 11:52 a.m. |
Created at: March 27, 2026, 2:50 p.m.