Triple
T4365449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Hunt |
E98760
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Ride
Ride is a 2014 comedy-drama film directed by and starring Helen Hunt, following a New York editor who travels to California to reconnect with her surfing-obsessed son.
|
E436797
|
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: Ride | Statement: [Helen Hunt, notableWork, Ride]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ride Context triple: [Helen Hunt, notableWork, Ride]
-
A.
Ride
Ride is an English alternative rock band, best known as one of the pioneering groups of the early 1990s shoegaze movement.
-
B.
Ride
Ride is a segment of the 1959 film "The Human Condition," contributing to its broader exploration of war, morality, and human suffering.
-
C.
Ride
"Ride" is an R&B song produced by Tricky Stewart, best known for its sultry, slow-burning style and chart success.
-
D.
Ride On
Ride On is a public bus transit system operating local and regional routes in Montgomery County, Maryland.
-
E.
The RIDE
The RIDE is the Massachusetts Bay Transportation Authority’s door-to-door paratransit service for people with disabilities who are unable to use standard fixed-route public transit.
- 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: Ride Triple: [Helen Hunt, notableWork, Ride]
Generated description
Ride is a 2014 comedy-drama film directed by and starring Helen Hunt, following a New York editor who travels to California to reconnect with her surfing-obsessed son.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ride Target entity description: Ride is a 2014 comedy-drama film directed by and starring Helen Hunt, following a New York editor who travels to California to reconnect with her surfing-obsessed son.
-
A.
Ride
Ride is an English alternative rock band, best known as one of the pioneering groups of the early 1990s shoegaze movement.
-
B.
Ride
Ride is a segment of the 1959 film "The Human Condition," contributing to its broader exploration of war, morality, and human suffering.
-
C.
Ride
"Ride" is an R&B song produced by Tricky Stewart, best known for its sultry, slow-burning style and chart success.
-
D.
Ride On
Ride On is a public bus transit system operating local and regional routes in Montgomery County, Maryland.
-
E.
The RIDE
The RIDE is the Massachusetts Bay Transportation Authority’s door-to-door paratransit service for people with disabilities who are unable to use standard fixed-route public transit.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351fea3e88190807b99868982c491 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5d4612c8190ac5163d50299f8ab |
completed | March 14, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_69b5f674c94c81908327336dd4380d2e |
completed | March 14, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f719d008819090a35e3597a0089f |
completed | March 15, 2026, 12:02 a.m. |
Created at: March 12, 2026, 11:17 p.m.