Triple
T19453636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inventing Anna |
E486679
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Tom Verica
Tom Verica is an American actor, director, and producer known for his work on numerous television dramas, including collaborations with Shonda Rhimes.
|
E1377629
|
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: Tom Verica | Statement: [Inventing Anna, executiveProducer, Tom Verica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Verica Context triple: [Inventing Anna, executiveProducer, Tom Verica]
-
A.
Timoci Bavadra
Timoci Bavadra was a Fijian medical doctor and politician who briefly served as prime minister in 1987 before being overthrown in a military coup.
-
B.
Ben Ivascu
Ben Ivascu is a musician best known as the drummer for the American synth-pop band Poliça.
-
C.
Alex Nesic
Alex Nesic is an actor best known for his role in the television drama series "Sleeper Cell."
-
D.
Alex Veadov
Alex Veadov is a Ukrainian-American actor known for his supporting roles in crime dramas and action films, including appearances in movies like "We Own the Night" and "Act of Valor."
-
E.
Luca Bercovici
Luca Bercovici is an American filmmaker and actor best known for his work in 1980s horror cinema, including directing the cult creature feature "Ghoulies."
- 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: Tom Verica Triple: [Inventing Anna, executiveProducer, Tom Verica]
Generated description
Tom Verica is an American actor, director, and producer known for his work on numerous television dramas, including collaborations with Shonda Rhimes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Verica Target entity description: Tom Verica is an American actor, director, and producer known for his work on numerous television dramas, including collaborations with Shonda Rhimes.
-
A.
Timoci Bavadra
Timoci Bavadra was a Fijian medical doctor and politician who briefly served as prime minister in 1987 before being overthrown in a military coup.
-
B.
Ben Ivascu
Ben Ivascu is a musician best known as the drummer for the American synth-pop band Poliça.
-
C.
Alex Nesic
Alex Nesic is an actor best known for his role in the television drama series "Sleeper Cell."
-
D.
Alex Veadov
Alex Veadov is a Ukrainian-American actor known for his supporting roles in crime dramas and action films, including appearances in movies like "We Own the Night" and "Act of Valor."
-
E.
Luca Bercovici
Luca Bercovici is an American filmmaker and actor best known for his work in 1980s horror cinema, including directing the cult creature feature "Ghoulies."
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6339407a08190a3e0213bfbb4df3d |
completed | April 20, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b33395081909ac7e5406843da5c |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073ba7f03481908ed5c06a46c0a029 |
completed | May 15, 2026, 3:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073cae2df481908ed9a0ee0bc14fd5 |
completed | May 15, 2026, 3:33 p.m. |
Created at: April 10, 2026, 1:38 p.m.