Triple
T2546954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlow (1965 film) |
E57924
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Harlow
Harlow is a 1965 biographical drama film about the life and career of Hollywood actress Jean Harlow.
|
E279863
|
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: Harlow | Statement: [Harlow (1965 film), title, Harlow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harlow Context triple: [Harlow (1965 film), title, Harlow]
-
A.
Harlow
Harlow is a town in Essex, England, known as a post-war New Town with significant residential, commercial, and industrial development.
-
B.
Peabody
Peabody is a suburban city in northeastern Massachusetts known for its location on the North Shore and its historical ties to the leather industry.
-
C.
Orem
Orem is a city in northern Utah known for its family-friendly suburbs, proximity to Provo, and the presence of Utah Valley University.
-
D.
Overton
Overton is a small unincorporated community in southeastern Nevada known as a gateway to the nearby Lake Mead National Recreation Area and the Valley of Fire State Park.
-
E.
Fairview
Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
- 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: Harlow Triple: [Harlow (1965 film), title, Harlow]
Generated description
Harlow is a 1965 biographical drama film about the life and career of Hollywood actress Jean Harlow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harlow Target entity description: Harlow is a 1965 biographical drama film about the life and career of Hollywood actress Jean Harlow.
-
A.
Harlow
Harlow is a town in Essex, England, known as a post-war New Town with significant residential, commercial, and industrial development.
-
B.
Peabody
Peabody is a suburban city in northeastern Massachusetts known for its location on the North Shore and its historical ties to the leather industry.
-
C.
Orem
Orem is a city in northern Utah known for its family-friendly suburbs, proximity to Provo, and the presence of Utah Valley University.
-
D.
Overton
Overton is a small unincorporated community in southeastern Nevada known as a gateway to the nearby Lake Mead National Recreation Area and the Valley of Fire State Park.
-
E.
Fairview
Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e5152c8190b31a5e732d0dde44 |
completed | March 7, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af655a0f088190a7ac30c6df1fdff6 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af669436208190901d1f34592c1a42 |
completed | March 10, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af6760cf7c8190bb681f573828049e |
completed | March 10, 2026, 12:35 a.m. |
Created at: March 6, 2026, 9:47 p.m.