Triple
T203578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell Crowe |
E4560
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Crowe
Crowe is the surname of Russell Crowe, the Academy Award–winning actor known for films such as "Gladiator" and "A Beautiful Mind."
|
E27255
|
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: Crowe | Statement: [Russell Crowe, familyName, Crowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crowe Context triple: [Russell Crowe, familyName, Crowe]
-
A.
Kestrel
Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
-
B.
Canary
Canary is an experimental, bleeding-edge release channel of Google Chrome that provides the newest features and updates ahead of other versions, often at the cost of stability.
-
C.
The Eagle
The Eagle is a 1925 silent adventure film starring Rudolph Valentino as a dashing Russian outlaw hero.
-
D.
Svans
Svans are a distinct subethnic group of Georgians known for their unique Svan language, highland culture, and traditional communities in the Svaneti region of the Caucasus.
-
E.
Leatherhead
Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
- 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: Crowe Triple: [Russell Crowe, familyName, Crowe]
Generated description
Crowe is the surname of Russell Crowe, the Academy Award–winning actor known for films such as "Gladiator" and "A Beautiful Mind."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crowe Target entity description: Crowe is the surname of Russell Crowe, the Academy Award–winning actor known for films such as "Gladiator" and "A Beautiful Mind."
-
A.
Kestrel
Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
-
B.
Canary
Canary is an experimental, bleeding-edge release channel of Google Chrome that provides the newest features and updates ahead of other versions, often at the cost of stability.
-
C.
The Eagle
The Eagle is a 1925 silent adventure film starring Rudolph Valentino as a dashing Russian outlaw hero.
-
D.
Svans
Svans are a distinct subethnic group of Georgians known for their unique Svan language, highland culture, and traditional communities in the Svaneti region of the Caucasus.
-
E.
Leatherhead
Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25be7337481909f4937fc1a06fb53 |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a338e6c2bc81908fbc7402770ab35b |
completed | Feb. 28, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69a33b028fc481908a91d70289bd485a |
completed | Feb. 28, 2026, 6:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a33b6580888190b3ebc9704f3e016a |
completed | Feb. 28, 2026, 7 p.m. |
Created at: Feb. 28, 2026, 2:51 a.m.