Triple
T396071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casey Affleck |
E8985
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Casey
Casey is the given name of American actor and filmmaker Casey Affleck, known for his roles in films such as "Manchester by the Sea."
|
E53172
|
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: Casey | Statement: [Casey Affleck, givenName, Casey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casey Context triple: [Casey Affleck, givenName, Casey]
-
A.
Jesse
Jesse is a figure in the Hebrew Bible best known as the father of King David and the ancestor from whose line the Davidic monarchy and, in Christian tradition, Jesus are said to descend.
-
B.
Cory
Cory is a masculine given name commonly used in English-speaking countries, often as a short form of names like Corey or Cornelius.
-
C.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
D.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
E.
Casey Patterson
Casey Patterson is a television producer known for creating and overseeing popular entertainment and live event programming.
- 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: Casey Triple: [Casey Affleck, givenName, Casey]
Generated description
Casey is the given name of American actor and filmmaker Casey Affleck, known for his roles in films such as "Manchester by the Sea."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Casey Target entity description: Casey is the given name of American actor and filmmaker Casey Affleck, known for his roles in films such as "Manchester by the Sea."
-
A.
Jesse
Jesse is a figure in the Hebrew Bible best known as the father of King David and the ancestor from whose line the Davidic monarchy and, in Christian tradition, Jesus are said to descend.
-
B.
Cory
Cory is a masculine given name commonly used in English-speaking countries, often as a short form of names like Corey or Cornelius.
-
C.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
D.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
E.
Casey Patterson
Casey Patterson is a television producer known for creating and overseeing popular entertainment and live event programming.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec8a941081909a152fda0ce24a98 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4254075388190af8fd09d037f427c |
completed | March 1, 2026, 11:38 a.m. |
| NEDg | Description generation | batch_69a4261531ac8190aa879bf38bfd9371 |
completed | March 1, 2026, 11:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4267b09b4819085db5e073cc19360 |
completed | March 1, 2026, 11:43 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.