Triple
T16622512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Berlanti |
E403867
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Berlanti
Berlanti is an Italian-origin surname most notably associated with American television writer, producer, and director Greg Berlanti.
|
E1224013
|
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: Berlanti | Statement: [Greg Berlanti, familyName, Berlanti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlanti Context triple: [Greg Berlanti, familyName, Berlanti]
-
A.
Amblie
Amblie is a small commune in the Calvados department of the Normandy region in northwestern France.
-
B.
Toland
Toland is a surname most notably associated with Gregg Toland, the pioneering American cinematographer renowned for his innovative deep-focus techniques in films like "Citizen Kane."
-
C.
Myrna
Myrna is a feminine given name most famously associated with American film actress Myrna Loy.
-
D.
Atlee
Atlee is a prominent Indian film director and screenwriter known for his commercially successful Tamil-language blockbusters and frequent collaborations with top South Indian stars.
-
E.
Lasky
Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
- 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: Berlanti Triple: [Greg Berlanti, familyName, Berlanti]
Generated description
Berlanti is an Italian-origin surname most notably associated with American television writer, producer, and director Greg Berlanti.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berlanti Target entity description: Berlanti is an Italian-origin surname most notably associated with American television writer, producer, and director Greg Berlanti.
-
A.
Amblie
Amblie is a small commune in the Calvados department of the Normandy region in northwestern France.
-
B.
Toland
Toland is a surname most notably associated with Gregg Toland, the pioneering American cinematographer renowned for his innovative deep-focus techniques in films like "Citizen Kane."
-
C.
Myrna
Myrna is a feminine given name most famously associated with American film actress Myrna Loy.
-
D.
Atlee
Atlee is a prominent Indian film director and screenwriter known for his commercially successful Tamil-language blockbusters and frequent collaborations with top South Indian stars.
-
E.
Lasky
Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754f4f508190a5b4b8511623fcd4 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db4a9288190aea7db58bb379404 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e6507208190b3f32c05a2f647bd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f2cefa081908734a907da33a72f |
completed | May 10, 2026, 12:50 p.m. |
Created at: April 10, 2026, 5:17 a.m.