Triple
T22976675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ree Dolly |
E571338
|
entity |
| Predicate | hasParent |
P120
|
FINISHED |
| Object |
Jessup Dolly
Jessup Dolly is a largely absent and criminally entangled father whose disappearance drives the plot of Daniel Woodrell’s novel and its film adaptation "Winter’s Bone."
|
E1564765
|
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: Jessup Dolly | Statement: [Ree Dolly, hasParent, Jessup Dolly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessup Dolly Context triple: [Ree Dolly, hasParent, Jessup Dolly]
-
A.
Dollie
Dollie is the young girl who serves as the central protagonist in the early silent short film "The Adventures of Dollie," directed by D. W. Griffith.
-
B.
Plum Nellie
Plum Nellie is a soul-jazz instrumental track featured on the album "Soul Dressing" by Booker T. & the M.G.'s.
-
C.
Betsy
Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
-
D.
Betsy
Betsy is a common diminutive or nickname for the given name Elizabeth.
-
E.
Dolly Hamma
Dolly Hamma is a character in Tennessee Williams’ play *Orpheus Descending*, representing the tensions and desires simmering beneath the surface of a repressive Southern town.
- 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: Jessup Dolly Triple: [Ree Dolly, hasParent, Jessup Dolly]
Generated description
Jessup Dolly is a largely absent and criminally entangled father whose disappearance drives the plot of Daniel Woodrell’s novel and its film adaptation "Winter’s Bone."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jessup Dolly Target entity description: Jessup Dolly is a largely absent and criminally entangled father whose disappearance drives the plot of Daniel Woodrell’s novel and its film adaptation "Winter’s Bone."
-
A.
Dollie
Dollie is the young girl who serves as the central protagonist in the early silent short film "The Adventures of Dollie," directed by D. W. Griffith.
-
B.
Plum Nellie
Plum Nellie is a soul-jazz instrumental track featured on the album "Soul Dressing" by Booker T. & the M.G.'s.
-
C.
Betsy
Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
-
D.
Betsy
Betsy is a common diminutive or nickname for the given name Elizabeth.
-
E.
Dolly Hamma
Dolly Hamma is a character in Tennessee Williams’ play *Orpheus Descending*, representing the tensions and desires simmering beneath the surface of a repressive Southern town.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182369b548190a6630655a6e0bb39 |
completed | April 29, 2026, 3:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd36f73a48190ba07a754949e2e40 |
completed | May 19, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_6a0bd41c89708190a3df2a798ca25c99 |
completed | May 19, 2026, 3:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bd5263734819082ce8b1c3082243f |
completed | May 19, 2026, 3:12 a.m. |
Created at: April 17, 2026, 3:48 p.m.