Triple
T9836722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morocco (1930 film) |
E239119
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Tom Brown
Tom Brown is a fictional character appearing in the 1930 American film "Morocco," which stars Marlene Dietrich and Gary Cooper.
|
E824704
|
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: Tom Brown | Statement: [Morocco (1930 film), character, Tom Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Brown Context triple: [Morocco (1930 film), character, Tom Brown]
-
A.
Hobart Brown
Hobart Brown was an American artist and sculptor best known as the eccentric founder of the human-powered art race tradition that became the Kinetic Grand Championship.
-
B.
Mr. Brown
Mr. Brown is the kind-hearted but often flustered father figure from the "Paddington" film series.
-
C.
Mr. Brown
Mr. Brown is one of the color-coded hijackers in the crime thriller "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
-
D.
Mr. Brown
Mr. Brown is a comically eccentric, churchgoing older man known for his loud outfits, over-the-top reactions, and frequent appearances in Tyler Perry’s Madea franchise.
-
E.
M. Brown
M. Brown is a music producer known for working on the album "Don't Quit Your Day Job!".
- 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: Tom Brown Triple: [Morocco (1930 film), character, Tom Brown]
Generated description
Tom Brown is a fictional character appearing in the 1930 American film "Morocco," which stars Marlene Dietrich and Gary Cooper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Brown Target entity description: Tom Brown is a fictional character appearing in the 1930 American film "Morocco," which stars Marlene Dietrich and Gary Cooper.
-
A.
Hobart Brown
Hobart Brown was an American artist and sculptor best known as the eccentric founder of the human-powered art race tradition that became the Kinetic Grand Championship.
-
B.
Mr. Brown
Mr. Brown is the kind-hearted but often flustered father figure from the "Paddington" film series.
-
C.
Mr. Brown
Mr. Brown is one of the color-coded hijackers in the crime thriller "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
-
D.
Mr. Brown
Mr. Brown is a comically eccentric, churchgoing older man known for his loud outfits, over-the-top reactions, and frequent appearances in Tyler Perry’s Madea franchise.
-
E.
M. Brown
M. Brown is a music producer known for working on the album "Don't Quit Your Day Job!".
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb33b07688190b78a70cf535c3efc |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5ccb28c8190a580767a57474557 |
completed | April 5, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69d1d66e91c881909eae9d539f47bd99 |
completed | April 5, 2026, 3:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d6dc0bd8819082a5ad417ca87a76 |
completed | April 5, 2026, 3:28 a.m. |
Created at: March 30, 2026, 8:33 p.m.