Triple
T12996873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriela Cowperthwaite |
E322059
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object |
The Grab
The Grab is a documentary film that investigates the global race for control over food and water resources and its far-reaching political and human consequences.
|
E1016375
|
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: The Grab | Statement: [Gabriela Cowperthwaite, directed, The Grab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Grab Context triple: [Gabriela Cowperthwaite, directed, The Grab]
-
A.
Grabler
Grabler is a surname of likely Germanic origin associated with individuals such as Maria Magdalena Grabler.
-
B.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
-
C.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
-
D.
Hustle Gang
Hustle Gang is an American hip hop collective and brand founded by rapper T.I., associated with the Atlanta-based label Grand Hustle Records.
-
E.
Bras Basah
Bras Basah is a historic civic and cultural district in Singapore known for its museums, educational institutions, and arts venues near the city center.
- 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: The Grab Triple: [Gabriela Cowperthwaite, directed, The Grab]
Generated description
The Grab is a documentary film that investigates the global race for control over food and water resources and its far-reaching political and human consequences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Grab Target entity description: The Grab is a documentary film that investigates the global race for control over food and water resources and its far-reaching political and human consequences.
-
A.
Grabler
Grabler is a surname of likely Germanic origin associated with individuals such as Maria Magdalena Grabler.
-
B.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
-
C.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
-
D.
Hustle Gang
Hustle Gang is an American hip hop collective and brand founded by rapper T.I., associated with the Atlanta-based label Grand Hustle Records.
-
E.
Bras Basah
Bras Basah is a historic civic and cultural district in Singapore known for its museums, educational institutions, and arts venues near the city center.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7980288190a9fe629a8cc76a52 |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0fe9d608190b9d503f4da1fe0c0 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c3beaf6881909be9c839206817b3 |
completed | May 3, 2026, 3:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c48ee33c8190a50b308b12c08951 |
completed | May 3, 2026, 3:44 a.m. |
Created at: April 9, 2026, 8:45 p.m.