Triple
T7052855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rod Laver |
E164009
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Laver
Laver is a surname most famously associated with Australian tennis legend Rod Laver, one of the greatest players in the history of the sport.
|
E638089
|
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: Laver | Statement: [Rod Laver, familyName, Laver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laver Context triple: [Rod Laver, familyName, Laver]
-
A.
Lauter
Lauter is a small river in Germany that serves as a tributary of the Innerste.
-
B.
Vledder
Vledder is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Westerveld.
-
C.
Merlav
Merlav is a small island and Oceanic language community in Vanuatu, known for its distinct Mwerlap language and culture.
-
D.
Valvins
Valvins is a small village in northern France best known as the place where the symbolist poet Stéphane Mallarmé spent his final years and died.
-
E.
Karosta
Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
- 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: Laver Triple: [Rod Laver, familyName, Laver]
Generated description
Laver is a surname most famously associated with Australian tennis legend Rod Laver, one of the greatest players in the history of the sport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laver Target entity description: Laver is a surname most famously associated with Australian tennis legend Rod Laver, one of the greatest players in the history of the sport.
-
A.
Lauter
Lauter is a small river in Germany that serves as a tributary of the Innerste.
-
B.
Vledder
Vledder is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Westerveld.
-
C.
Merlav
Merlav is a small island and Oceanic language community in Vanuatu, known for its distinct Mwerlap language and culture.
-
D.
Valvins
Valvins is a small village in northern France best known as the place where the symbolist poet Stéphane Mallarmé spent his final years and died.
-
E.
Karosta
Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
- 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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e2515bb48190ac0efed0dd4252ad |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788980b50819085473407a176e04b |
completed | March 28, 2026, 7:51 a.m. |
| NEDg | Description generation | batch_69c78905c75c81908bee9a9000e05bd6 |
completed | March 28, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c789ecb50c8190b67bc1152b33d1eb |
completed | March 28, 2026, 7:57 a.m. |
Created at: March 27, 2026, 2:37 p.m.