Triple
T29039363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bright Road (1953 film) |
E737950
|
entity |
| Predicate | BelafonteRole |
P165956
|
FINISHED |
| Object |
Principal Williams
Principal Williams is a character portrayed by Harry Belafonte in the 1953 film "Bright Road," serving as the school principal in the story.
|
E1847590
|
NE FINISHED |
How this triple was built (3 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: Principal Williams | Statement: [Bright Road (1953 film), BelafonteRole, Principal Williams]
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: Principal Williams Triple: [Bright Road (1953 film), BelafonteRole, Principal Williams]
Generated description
Principal Williams is a character portrayed by Harry Belafonte in the 1953 film "Bright Road," serving as the school principal in the story.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BelafonteRole Context triple: [Bright Road (1953 film), BelafonteRole, Principal Williams]
-
A.
performerRoleOfJamesBrown
Indicates that the specified role is one that was performed or held by James Brown.
-
B.
performerRoleOfPaulSimon
Indicates that the specified role is one that Paul Simon performs or has performed.
-
C.
musicalRole
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
-
D.
roleOfJimCrowley
Indicates that the specified role or position is held or performed by Jim Crowley.
-
E.
performerRole_Paul McCartney
Indicates that Paul McCartney serves or is credited in a specific performer role within a performance or creative work.
- F. None of above. chosen
Provenance (7 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6603f2f88819080e922efd5f23f04 |
completed | May 2, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a251f6d229c81909b5bc3ac62d3e1a5 |
completed | June 7, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a2523860108819094d3f9409a33dd38 |
completed | June 7, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2527594d448190992da1d867a62c68 |
completed | June 7, 2026, 8:10 a.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 10 a.m.