Triple
T3328132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Brolin |
E69966
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Brolin
Brolin is a surname most prominently associated with American actor Josh Brolin and his family.
|
E349306
|
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: Brolin | Statement: [Josh Brolin, familyName, Brolin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brolin Context triple: [Josh Brolin, familyName, Brolin]
-
A.
Errol
Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
-
B.
Mac Ahlberg
Mac Ahlberg was a Swedish cinematographer and film director known for his work on numerous genre and Hollywood films, including major studio comedies and action movies.
-
C.
Bryan Woodman
Bryan Woodman is a young, ambitious energy analyst whose personal tragedy and moral awakening drive one of the central storylines in the geopolitical drama film "Syriana."
-
D.
Renny
Renny is a diminutive or short form of the given name René, often used as a familiar or affectionate variant.
-
E.
Sheen
Sheen is a historic area in southwest London, England, known for its royal connections and the former site of Sheen Palace.
- 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: Brolin Triple: [Josh Brolin, familyName, Brolin]
Generated description
Brolin is a surname most prominently associated with American actor Josh Brolin and his family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brolin Target entity description: Brolin is a surname most prominently associated with American actor Josh Brolin and his family.
-
A.
Errol
Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
-
B.
Mac Ahlberg
Mac Ahlberg was a Swedish cinematographer and film director known for his work on numerous genre and Hollywood films, including major studio comedies and action movies.
-
C.
Bryan Woodman
Bryan Woodman is a young, ambitious energy analyst whose personal tragedy and moral awakening drive one of the central storylines in the geopolitical drama film "Syriana."
-
D.
Renny
Renny is a diminutive or short form of the given name René, often used as a familiar or affectionate variant.
-
E.
Sheen
Sheen is a historic area in southwest London, England, known for its royal connections and the former site of Sheen Palace.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb16f61248190bab10f4ac9e066f7 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a7ec9f48190873d90b678713bad |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c368e4c8190a011833fce090a7d |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31d3fa6088190a5abf858c01c25bc |
completed | March 12, 2026, 8:08 p.m. |
Created at: March 8, 2026, 3:12 p.m.