Triple
T309107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Lucas |
E6364
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lucas
Lucas is the surname of George Lucas, the influential American filmmaker best known as the creator of the Star Wars and Indiana Jones franchises.
|
E39779
|
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: Lucas | Statement: [George Lucas, familyName, Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucas Context triple: [George Lucas, familyName, Lucas]
-
A.
Luke
Luke is traditionally regarded as the author of the Gospel of Luke and the Acts of the Apostles in the New Testament, and is thought to have been a physician and companion of the Apostle Paul.
-
B.
Ian
Ian is a masculine given name of Scottish Gaelic origin that has become widely used in English-speaking countries.
-
C.
Sid Luft
Sid Luft was an American film producer and manager best known for revitalizing Judy Garland’s career and producing the 1954 version of "A Star Is Born."
-
D.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
E.
Timothy
Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
- 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: Lucas Triple: [George Lucas, familyName, Lucas]
Generated description
Lucas is the surname of George Lucas, the influential American filmmaker best known as the creator of the Star Wars and Indiana Jones franchises.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucas Target entity description: Lucas is the surname of George Lucas, the influential American filmmaker best known as the creator of the Star Wars and Indiana Jones franchises.
-
A.
Luke
Luke is traditionally regarded as the author of the Gospel of Luke and the Acts of the Apostles in the New Testament, and is thought to have been a physician and companion of the Apostle Paul.
-
B.
Ian
Ian is a masculine given name of Scottish Gaelic origin that has become widely used in English-speaking countries.
-
C.
Sid Luft
Sid Luft was an American film producer and manager best known for revitalizing Judy Garland’s career and producing the 1954 version of "A Star Is Born."
-
D.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
E.
Timothy
Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea33ba688190b30d285cd7aa0d82 |
completed | Feb. 28, 2026, 1:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b475e91c8190b68b05a8112d35dd |
completed | March 1, 2026, 3:37 a.m. |
| NEDg | Description generation | batch_69a3b52d7d208190b03eac35baed1294 |
completed | March 1, 2026, 3:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3b5c1360c819093622754b6f1d2d8 |
completed | March 1, 2026, 3:42 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.