Triple
T14397767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Green |
E356993
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Chauncey Leopardi
Chauncey Leopardi is an American actor best known for playing Squints in the 1993 baseball film "The Sandlot."
|
E1096647
|
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: Chauncey Leopardi | Statement: [The Big Green, hasCastMember, Chauncey Leopardi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chauncey Leopardi Context triple: [The Big Green, hasCastMember, Chauncey Leopardi]
-
A.
Chauncey Goss
Chauncey Goss is an American public official and policy analyst known for his work in fiscal policy and water management in Florida.
-
B.
Chauncey Gardiner
Chauncey Gardiner is the simple-minded yet enigmatic gardener whose accidental rise to political prominence drives the satirical plot of the film "Being There."
-
C.
Chauncey
Chauncey is a small village located in Athens County in the southeastern region of Ohio, United States.
-
D.
Chauncey
Chauncey is a masculine given name most famously borne by former NBA player and coach Chauncey Billups.
-
E.
Chauncey
Chauncey is the main character of the horror film "The Horde," around whom the story’s survival-driven conflict and terror unfold.
- 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: Chauncey Leopardi Triple: [The Big Green, hasCastMember, Chauncey Leopardi]
Generated description
Chauncey Leopardi is an American actor best known for playing Squints in the 1993 baseball film "The Sandlot."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chauncey Leopardi Target entity description: Chauncey Leopardi is an American actor best known for playing Squints in the 1993 baseball film "The Sandlot."
-
A.
Chauncey Goss
Chauncey Goss is an American public official and policy analyst known for his work in fiscal policy and water management in Florida.
-
B.
Chauncey Gardiner
Chauncey Gardiner is the simple-minded yet enigmatic gardener whose accidental rise to political prominence drives the satirical plot of the film "Being There."
-
C.
Chauncey
Chauncey is a small village located in Athens County in the southeastern region of Ohio, United States.
-
D.
Chauncey
Chauncey is a masculine given name most famously borne by former NBA player and coach Chauncey Billups.
-
E.
Chauncey
Chauncey is the main character of the horror film "The Horde," around whom the story’s survival-driven conflict and terror unfold.
- 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.