Triple
T985062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminator Salvation |
E21259
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Conrad Buff IV
Conrad Buff IV is an American film editor known for his work on major Hollywood productions, including blockbusters like "Terminator Salvation."
|
E116007
|
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: Conrad Buff IV | Statement: [Terminator Salvation, editedBy, Conrad Buff IV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conrad Buff IV Context triple: [Terminator Salvation, editedBy, Conrad Buff IV]
-
A.
Conrad Will
Conrad Will was an early 19th-century American pioneer, politician, and businessman in Illinois, recognized as a prominent figure in the state's formative years.
-
B.
Joseph Buloff
Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
-
C.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
D.
Johnston McCulley
Johnston McCulley was an American writer best known as the creator of the swashbuckling masked hero Zorro.
-
E.
Harvey Shephard
Harvey Shephard is a television producer best known for his executive production work on the prime-time soap opera "Falcon Crest."
- 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: Conrad Buff IV Triple: [Terminator Salvation, editedBy, Conrad Buff IV]
Generated description
Conrad Buff IV is an American film editor known for his work on major Hollywood productions, including blockbusters like "Terminator Salvation."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conrad Buff IV Target entity description: Conrad Buff IV is an American film editor known for his work on major Hollywood productions, including blockbusters like "Terminator Salvation."
-
A.
Conrad Will
Conrad Will was an early 19th-century American pioneer, politician, and businessman in Illinois, recognized as a prominent figure in the state's formative years.
-
B.
Joseph Buloff
Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
-
C.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
D.
Johnston McCulley
Johnston McCulley was an American writer best known as the creator of the swashbuckling masked hero Zorro.
-
E.
Harvey Shephard
Harvey Shephard is a television producer best known for his executive production work on the prime-time soap opera "Falcon Crest."
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4959fe48190a78bd811cbc888ab |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1ce3c6fc81909fbbf04eef1b997e |
completed | March 7, 2026, 12:41 p.m. |
| NEDg | Description generation | batch_69ac1d45b8cc8190b8b678b697d3f7f1 |
completed | March 7, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1e2e200881909e9b503655d6f8ab |
completed | March 7, 2026, 12:46 p.m. |
Created at: March 1, 2026, 7:41 p.m.