Triple
T5043577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So Big (1953 film) |
E113604
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
So Big
So Big is a 1953 American drama film adaptation of Edna Ferber’s Pulitzer Prize–winning novel, focusing on a woman’s struggles and resilience as she raises her son in a rural farming community.
|
E489103
|
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: So Big | Statement: [So Big (1953 film), title, So Big]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Big Context triple: [So Big (1953 film), title, So Big]
-
A.
Something Big
"Something Big" is a song featured on the country music album "Hard Promises" by Tom Petty and the Heartbreakers.
-
B.
So Much More
"So Much More" is a track by American rapper Big Sean from his debut studio album "Finally Famous."
-
C.
Big Time
"Big Time" is a 1986 funk-influenced art rock song by Peter Gabriel that satirically explores consumerism, ambition, and the excesses of 1980s culture.
-
D.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
E.
So High
"So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
- 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: So Big Triple: [So Big (1953 film), title, So Big]
Generated description
So Big is a 1953 American drama film adaptation of Edna Ferber’s Pulitzer Prize–winning novel, focusing on a woman’s struggles and resilience as she raises her son in a rural farming community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: So Big Target entity description: So Big is a 1953 American drama film adaptation of Edna Ferber’s Pulitzer Prize–winning novel, focusing on a woman’s struggles and resilience as she raises her son in a rural farming community.
-
A.
Something Big
"Something Big" is a song featured on the country music album "Hard Promises" by Tom Petty and the Heartbreakers.
-
B.
So Much More
"So Much More" is a track by American rapper Big Sean from his debut studio album "Finally Famous."
-
C.
Big Time
"Big Time" is a 1986 funk-influenced art rock song by Peter Gabriel that satirically explores consumerism, ambition, and the excesses of 1980s culture.
-
D.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
-
E.
So High
"So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fc04f08190aba851fa0192d0fb |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c87455081908b759eed55730503 |
completed | March 21, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69be9fc4f8bc8190a21c828ea5cb9529 |
completed | March 21, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea026f1008190861990c7a330222e |
completed | March 21, 2026, 1:41 p.m. |
Created at: March 20, 2026, 1:37 p.m.