Triple
T16105873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bao Nguyen |
E390736
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Be Water
Be Water is a 2020 documentary film directed by Bao Nguyen that explores Bruce Lee’s life, legacy, and cultural impact through archival footage and interviews.
|
E1195132
|
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: Be Water | Statement: [Bao Nguyen, notableWork, Be Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Be Water Context triple: [Bao Nguyen, notableWork, Be Water]
-
A.
Treading Water
"Treading Water" is a song by the American rock band Hope.
-
B.
Drink the Water
"Drink the Water" is a song by singer-songwriter Jack Johnson from his debut album *Brushfire Fairytales*.
-
C.
Bring Me Some Water
"Bring Me Some Water" is a 1988 blues-rock song by American singer-songwriter Melissa Etheridge that became one of her signature hits.
-
D.
High Water Everywhere
"High Water Everywhere" is a seminal 1929 Delta blues song by Charley Patton that vividly chronicles the devastation of the Great Mississippi Flood.
-
E.
Dighty Water
Dighty Water is a small river in Angus, Scotland, that flows through the Monifieth and Dundee area before entering the Firth of Tay.
- 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: Be Water Triple: [Bao Nguyen, notableWork, Be Water]
Generated description
Be Water is a 2020 documentary film directed by Bao Nguyen that explores Bruce Lee’s life, legacy, and cultural impact through archival footage and interviews.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Be Water Target entity description: Be Water is a 2020 documentary film directed by Bao Nguyen that explores Bruce Lee’s life, legacy, and cultural impact through archival footage and interviews.
-
A.
Treading Water
"Treading Water" is a song by the American rock band Hope.
-
B.
Drink the Water
"Drink the Water" is a song by singer-songwriter Jack Johnson from his debut album *Brushfire Fairytales*.
-
C.
Bring Me Some Water
"Bring Me Some Water" is a 1988 blues-rock song by American singer-songwriter Melissa Etheridge that became one of her signature hits.
-
D.
High Water Everywhere
"High Water Everywhere" is a seminal 1929 Delta blues song by Charley Patton that vividly chronicles the devastation of the Great Mississippi Flood.
-
E.
Dighty Water
Dighty Water is a small river in Angus, Scotland, that flows through the Monifieth and Dundee area before entering the Firth of Tay.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6d81d081909e1315f4dbfd7369 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba1e4c08190a90f5102e0038056 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffed3d57388190a4d0faa58ee2a27b |
completed | May 10, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffedfb88a881909e6adbb3a372246b |
completed | May 10, 2026, 2:31 a.m. |
Created at: April 10, 2026, 5 a.m.