Triple
T5751873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Issa Rae |
E126871
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Little
Little is a 2019 fantasy-comedy film in which a domineering tech executive is magically transformed into her younger self, forcing her to relive middle school and confront her past behavior.
|
E543889
|
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: Little | Statement: [Issa Rae, notableWork, Little]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Context triple: [Issa Rae, notableWork, Little]
-
A.
Little
Little is a common English surname borne by numerous notable individuals across fields such as sports, politics, and the arts.
-
B.
Small
Small is a peer-reviewed scientific journal focusing on nanoscience and nanotechnology, including research on nanoscale materials, devices, and systems.
-
C.
Little D
Little D is a colloquial nickname for the city of Denton, Texas, often used in contrast to nearby Dallas, known as "Big D."
-
D.
Little Child
"Little Child" is an upbeat rock and roll song by the Beatles, sung primarily by John Lennon and featured on their 1963 album "With the Beatles."
-
E.
Tiny
Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
- 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: Little Triple: [Issa Rae, notableWork, Little]
Generated description
Little is a 2019 fantasy-comedy film in which a domineering tech executive is magically transformed into her younger self, forcing her to relive middle school and confront her past behavior.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Target entity description: Little is a 2019 fantasy-comedy film in which a domineering tech executive is magically transformed into her younger self, forcing her to relive middle school and confront her past behavior.
-
A.
Little
Little is a common English surname borne by numerous notable individuals across fields such as sports, politics, and the arts.
-
B.
Small
Small is a peer-reviewed scientific journal focusing on nanoscience and nanotechnology, including research on nanoscale materials, devices, and systems.
-
C.
Little D
Little D is a colloquial nickname for the city of Denton, Texas, often used in contrast to nearby Dallas, known as "Big D."
-
D.
Little Child
"Little Child" is an upbeat rock and roll song by the Beatles, sung primarily by John Lennon and featured on their 1963 album "With the Beatles."
-
E.
Tiny
Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288b580c81909e1289982b106695 |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3a50b88190a943b2d91d3c5b8e |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c0880ef8608190a602c7b9c7f753fb |
completed | March 23, 2026, 12:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c088cff95481908a8e04e763269062 |
completed | March 23, 2026, 12:26 a.m. |
Created at: March 22, 2026, 3:48 p.m.