Triple
T14397769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Green |
E356993
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Bug Hall
Bug Hall is an American former child actor best known for playing Alfalfa in the 1994 film "The Little Rascals."
|
E1096648
|
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: Bug Hall | Statement: [The Big Green, hasCastMember, Bug Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bug Hall Context triple: [The Big Green, hasCastMember, Bug Hall]
-
A.
Hall H
Hall H is the massive, high-profile main presentation hall at San Diego Comic-Con, famed for hosting the convention’s biggest and most anticipated panels and premieres.
-
B.
Rec Hall
Rec Hall is a historic multi-purpose arena on Penn State’s campus that long served as a primary venue for the university’s athletic events and student activities.
-
C.
Hall G
Hall G is one of the exhibition halls within Toronto’s Enercare Centre, used for trade shows, conventions, and large-scale events.
-
D.
Hall G
Hall G is one of the event and exhibition spaces within the Tokyo International Forum, used for conferences, performances, and various cultural or business gatherings.
-
E.
Hall C
Hall C is one of the main multipurpose event halls within the Tokyo International Forum complex in Tokyo, used for conferences, performances, and large-scale gatherings.
- 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: Bug Hall Triple: [The Big Green, hasCastMember, Bug Hall]
Generated description
Bug Hall is an American former child actor best known for playing Alfalfa in the 1994 film "The Little Rascals."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bug Hall Target entity description: Bug Hall is an American former child actor best known for playing Alfalfa in the 1994 film "The Little Rascals."
-
A.
Hall H
Hall H is the massive, high-profile main presentation hall at San Diego Comic-Con, famed for hosting the convention’s biggest and most anticipated panels and premieres.
-
B.
Rec Hall
Rec Hall is a historic multi-purpose arena on Penn State’s campus that long served as a primary venue for the university’s athletic events and student activities.
-
C.
Hall G
Hall G is one of the exhibition halls within Toronto’s Enercare Centre, used for trade shows, conventions, and large-scale events.
-
D.
Hall G
Hall G is one of the event and exhibition spaces within the Tokyo International Forum, used for conferences, performances, and various cultural or business gatherings.
-
E.
Hall C
Hall C is one of the main multipurpose event halls within the Tokyo International Forum complex in Tokyo, used for conferences, performances, and large-scale gatherings.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90826f908190b3969af9b7cf922f |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551cbdb08190a9ea53e607f2555b |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd55d90ed08190b6a0184715f39ff4 |
completed | May 8, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd565d32fc8190acc1e733537a23cb |
completed | May 8, 2026, 3:19 a.m. |
Created at: April 10, 2026, 1:17 a.m.