Triple
T2850175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pirates of the Caribbean: At World's End |
E63072
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Craig Wood
Craig Wood is a film editor best known for his work on major Hollywood blockbusters, including entries in the Pirates of the Caribbean franchise.
|
E303054
|
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: Craig Wood | Statement: [Pirates of the Caribbean: At World's End, editedBy, Craig Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Wood Context triple: [Pirates of the Caribbean: At World's End, editedBy, Craig Wood]
-
A.
John Morris
John Morris is an American voice actor best known for voicing Andy Davis in the Toy Story film series.
-
B.
Ray Wood
Ray Wood was an English footballer for Manchester United who survived the 1958 Munich air disaster.
-
C.
Scott Norwood
Scott Norwood is a former NFL placekicker best known for his crucial missed field goal in Super Bowl XXV while playing for the Buffalo Bills.
-
D.
Randy Woods
Randy Woods is a former American basketball player best known as a standout guard at La Salle University who went on to play in the NBA.
-
E.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
- 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: Craig Wood Triple: [Pirates of the Caribbean: At World's End, editedBy, Craig Wood]
Generated description
Craig Wood is a film editor best known for his work on major Hollywood blockbusters, including entries in the Pirates of the Caribbean franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Craig Wood Target entity description: Craig Wood is a film editor best known for his work on major Hollywood blockbusters, including entries in the Pirates of the Caribbean franchise.
-
A.
John Morris
John Morris is an American voice actor best known for voicing Andy Davis in the Toy Story film series.
-
B.
Ray Wood
Ray Wood was an English footballer for Manchester United who survived the 1958 Munich air disaster.
-
C.
Scott Norwood
Scott Norwood is a former NFL placekicker best known for his crucial missed field goal in Super Bowl XXV while playing for the Buffalo Bills.
-
D.
Randy Woods
Randy Woods is a former American basketball player best known as a standout guard at La Salle University who went on to play in the NBA.
-
E.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf437328819098506ec8a3a23e11 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8e23694819089b38a10e1bc2f03 |
completed | March 10, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_69afea2358b88190a91ef389f5a98cea |
completed | March 10, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0035854e88190a8750b3291aa41c4 |
completed | March 10, 2026, 11:41 a.m. |
Created at: March 6, 2026, 10:02 p.m.