Triple
T20248122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Close Enough |
E498477
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Gabrielle Walsh
Gabrielle Walsh is an American actress known for her film and television roles, including voice work on the animated series "Close Enough."
|
E1421762
|
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: Gabrielle Walsh | Statement: [Close Enough, voiceActor, Gabrielle Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabrielle Walsh Context triple: [Close Enough, voiceActor, Gabrielle Walsh]
-
A.
Gabrielle Dennis
Gabrielle Dennis is an American actress and comedian known for her roles in television series such as Luke Cage, The Game, and A Black Lady Sketch Show.
-
B.
Gabrielle Glore
Gabrielle Glore is a film producer best known for her work on the romantic drama "Sylvie’s Love."
-
C.
Gabrielle Ryan
Gabrielle Ryan is a British actress known for her role in the crime drama series "Power Book IV: Force."
-
D.
Gabrielle Lewis
Gabrielle Lewis is known as the wife of English actor and singer Michael Crawford.
-
E.
Gabrielle Simpson
Gabrielle Simpson is the witty and resourceful secretary who becomes the romantic lead opposite a struggling screenwriter in the 1964 romantic comedy film "Paris When It Sizzles."
- 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: Gabrielle Walsh Triple: [Close Enough, voiceActor, Gabrielle Walsh]
Generated description
Gabrielle Walsh is an American actress known for her film and television roles, including voice work on the animated series "Close Enough."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabrielle Walsh Target entity description: Gabrielle Walsh is an American actress known for her film and television roles, including voice work on the animated series "Close Enough."
-
A.
Gabrielle Dennis
Gabrielle Dennis is an American actress and comedian known for her roles in television series such as Luke Cage, The Game, and A Black Lady Sketch Show.
-
B.
Gabrielle Glore
Gabrielle Glore is a film producer best known for her work on the romantic drama "Sylvie’s Love."
-
C.
Gabrielle Ryan
Gabrielle Ryan is a British actress known for her role in the crime drama series "Power Book IV: Force."
-
D.
Gabrielle Lewis
Gabrielle Lewis is known as the wife of English actor and singer Michael Crawford.
-
E.
Gabrielle Simpson
Gabrielle Simpson is the witty and resourceful secretary who becomes the romantic lead opposite a struggling screenwriter in the 1964 romantic comedy film "Paris When It Sizzles."
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a1759d081909909d30925d03d72 |
completed | May 16, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_6a085ad8bfd08190ac31b66cdc0bc6aa |
completed | May 16, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085b756f44819090892ab35a98fcc8 |
completed | May 16, 2026, 11:56 a.m. |
Created at: April 11, 2026, 11:40 p.m.